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143 event found
  • NCI-NVIDIA HPC-AI Hackathon

    6 - 15 August 2022

    NCI-NVIDIA HPC-AI Hackathon https://dresa.org.au/events/nci-nvidia-hpc-ai-hackathon Full Submission closes. 2022-08-06 00:00:00 UTC 2022-08-15 23:59:00 UTC NCI NCINVIDIA training.nci@anu.edu.au [] [] [] expression_of_interesthost_institution []
  • Data Capture and Surveys with REDCap at ACU Online

    16 August 2022

    Data Capture and Surveys with REDCap at ACU Online https://dresa.org.au/events/data-capture-and-surveys-with-redcap-at-acu-online-d87b73b8-4708-450b-a1fd-b571d64c698c Would you like to enable secure and reliable data collection forms and manage online surveys? Would your study benefit from web-based data entry? Research Electronic Data Capture (REDCap) might be for you. This course will introduce you to REDCap, a rapidly evolving web tool developed by researchers for researchers. REDCap features a high level of security, and a high degree of customisability for your forms and advanced user access control. It also features free, unlimited survey distribution functionality and a sophisticated export module with support for all standard statistical programs. #### You'll learn: - Get started with REDCap - Create and set up projects - Design forms and surveys using the online designer - Learn how to use branching logic, piping, and calculations - Enter data via forms and distribute surveys - Create, view and export data reports - Add collaborators and set their privileges #### Prerequisites: The course has no prerequisites. **For more information, please click [here](https://intersect.org.au/training/course/redcap101).** 2022-08-16 10:00:00 UTC 2022-08-16 13:00:00 UTC Intersect Australia Australia Australia ACU training@intersect.org.au [] [] [] host_institution []
  • Learn to Program: Python at UniSA Online

    16 - 17 August 2022

    Learn to Program: Python at UniSA Online https://dresa.org.au/events/learn-to-program-python-at-unisa-online-a813467c-56b6-42ea-b1c2-3ced2ccb7619 Python has deservedly become a popular language for scientific computing. It has all the friendly features and conveniences you'd expect of a modern programming language, and also a rich set of libraries for working with data. We teach using Jupyter notebooks, which allow program code, results, visualisations and documentation to be blended seamlessly. Perfect for sharing insights with others while producing reproducible research. Join us for this live coding workshop where we write programs that produce results, using the researcher-focused training modules from the highly regarded Software Carpentry Foundation. #### You'll learn: - Introduction to the JupyterLab interface for programming - Basic syntax and data types in Python - How to load external data into Python - Creating functions (FUNCTIONS) - Repeating actions and anylsing multiple data sets (LOOPS) - Making choices (IF STATEMENTS - CONDITIONALS) - Ways to visualise data in Python #### Prerequisites: No prior experience with programming needed to attend this course. We strongly recommend attending the Start Coding without Hesitation: Programming Languages Showdown and Thinking like a computer: The Fundamentals of Programming webinars. Recordings of previously delivered webinars can be found [here](https://intersect.org.au/training/webinars/). **For more information, please click [here](https://intersect.org.au/training/course/python101).** 2022-08-16 13:00:00 UTC 2022-08-17 16:00:00 UTC Intersect Australia Australia Australia UniSA training@intersect.org.au [] [] [] host_institution []
  • Excel for Researchers at UNSW Online

    16 - 17 August 2022

    Excel for Researchers at UNSW Online https://dresa.org.au/events/excel-for-researchers-at-unsw-online-ffb839a5-32dc-415c-8c04-3ff8be0e6b26 Data rarely comes in the form you require. Often it is messy. Sometimes it is incomplete. And sometimes there's too much of it. Frequently, it has errors. We'll use one of the most widespread data wrangling tools, Microsoft Excel, to import, sort, filter, copy, protect, transform, summarise, merge, and visualise research data. While aimed at novice Excel users, most attendees will walk away with new tricks to work more efficiently with their research data. #### You'll learn: - 'Clean up’ messy research data - Organise, format and name your data - Interpret your data (SORTING, FILTERING, CONDITIONAL FORMATTING) - Perform calculations on your data using functions (MAX, MIN, AVERAGE) - Extract significant findings from your data (PIVOT TABLE, VLOOKUP) - Manipulate your data (convert data format, work with DATES and TIMES) - Create graphs and charts to visualise your data (CHARTS) - Handy tips to speed up your work #### Prerequisites: In order to participate, attendees must have a licensed copy of Microsoft Excel installed on their computer. Speak to your local university IT or Research Office for assistance in obtaining a license and installing the software. **For more information, please click [here](https://intersect.org.au/training/course/excel101).** 2022-08-16 13:30:00 UTC 2022-08-17 12:30:00 UTC Intersect Australia Australia Australia UNSW training@intersect.org.au [] [] [] host_institution []
  • Learn to Program: R at UC Online

    16 - 17 August 2022

    Learn to Program: R at UC Online https://dresa.org.au/events/learn-to-program-r-at-uc-online-fcd3333b-1560-4dc5-81e5-95b5e589de48 R is quickly gaining popularity as a programming language of choice for statisticians, data scientists and researchers. It has an excellent ecosystem including the powerful RStudio development environment and the Shiny web application framework. But getting started with R can be challenging, particularly if you've never programmed before. That's where this introductory course comes in. We teach using RStudio, which allows program code, results, visualisations and documentation to be blended seamlessly. Join us for a live coding workshop where we write programs that produce results, using the researcher-focused training modules from the highly regarded Software Carpentry Foundation. #### You'll learn: - Introduction to the RStudio interface for programming - Basic syntax and data types in R - How to load external data into R - Creating functions (FUNCTIONS) - Repeating actions and analysing multiple data sets (LOOPS) - Making choices (IF STATEMENTS - CONDITIONALS) - Ways to visualise data in R #### Prerequisites: No prior experience with programming needed to attend this course. We strongly recommend attending the Start Coding without Hesitation: Programming Languages Showdown and Thinking like a computer: The Fundamentals of Programming webinars. Recordings of previously delivered webinars can be found [here](https://intersect.org.au/training/webinars/). **For more information, please click [here](https://intersect.org.au/training/course/r101).** 2022-08-16 13:30:00 UTC 2022-08-17 12:30:00 UTC Intersect Australia Australia Australia UC training@intersect.org.au [] [] [] host_institution []
  • Research Essentials - analysing your data

    17 August 2022

    Research Essentials - analysing your data https://dresa.org.au/events/research-essentials-analysing-your-data-e96d6627-7133-4fd7-b9cb-1425e644cde2 **Research Essentials - Analysing your data** This workshop presents methods and concepts that will help you create world-changing research worthy of top-tier journals. We introduce the concept of a research workflow, a series of defined steps that will assist you in thinking about your data and preparing it for statistical analysis. We introduce you to the resources available from both Sydney Informatics Hub and across the University that will support you in proceeding from hypothesis generation all the way through to publication. Data analysis concepts will be covered in detail, including: how experimental design fits into hypothesis generation and your final publication; how to manage your analysis data and Exploratory Data Analysis (EDA) – an essential and often-overlooked stage of data analysis for determining the appropriate statistical methods to apply in your research. We will show you some of the more advanced statistical analysis methods to give you and idea of what is possible. Note that this workshop does not require knowledge of or use of specific statistics software. The analysis methods may be performed using a range of commonly available software through the university. **Attendance options:** You will get the most out of this session by attending in person. This way allows you to interact with the presenters, ask questions directly, and catch up after the session. Please only choose online if circumstances prevent you from attending campus. **In person:** Choose the **_In person_** ticket option. **Online:** Choose the **_Online Zoom_** ticket option. It is recommended to have a dual monitor setup to view and participate remotely in the session. Registered attendees will receive a link to the Zoom event closer to the date. **Sydney Informatics Hub** - Open to: Academic and Professional Staff, research students, and affiliates of The University of Sydney (with a valid UniKey) - Please use your University of Sydney email address to register i.e. @sydney.edu.au, @uni.sydney.edu.au, etc - If you do not have a UniKey, please contact us to confirm your position after registration. **Registrations from open web email clients (@gmail.com, @hotmail.com etc) will AUTOMATICALLY be cancelled, without us contacting you!** 2022-08-17 09:30:00 UTC 2022-08-17 11:00:00 UTC Sydney Informatics Hub Sydney, Australia Sydney Australia University of Sydney sih.training@sydney.edu.au [] [] [] host_institution []
  • Getting started with HPC using PBS Pro at LTU Online

    17 - 18 August 2022

    Getting started with HPC using PBS Pro at LTU Online https://dresa.org.au/events/getting-started-with-hpc-using-pbs-pro-at-ltu-online-cb56cbc3-0151-4b9a-8fad-0c51786e0360 Is your computer's limited power throttling your research ambitions? Are your analysis scripts pushing your laptop's processor to its limits? Is your software crashing because you’ve run out of memory? Would you like to unleash to power of the Unix command line to automate and run your analysis on supercomputers that you can access for free? High-Performance Computing (HPC) allows you to accomplish your analysis faster by using many parallel CPUs and huge amounts of memory simultaneously. This course provides a hands on introduction to running software on HPC infrastructure using PBS Pro. #### You'll learn: - Connect to an HPC cluster - Use the Unix command line to operate a remote computer and create job scripts - Submit and manage jobs on a cluster using a scheduler - Transfer files to and from a remote computer - Use software through environment modules - Use parallelisation to speed up data analysis - Access the facilities available to you as a researcher - This is the PBS Pro version of the Getting Started with HPC course. #### Prerequisites: This course assumes basic familiarity with the Bash command line environment found on GNU/Linux and other Unix-like environments. To come up to speed, consider taking our [Unix Shell and Command Line Basics](https://intersect.org.au/training/course/unix101/) course. **For more information, please click [here](https://intersect.org.au/training/course/hpc201).** 2022-08-17 09:30:00 UTC 2022-08-18 12:30:00 UTC Intersect Australia Australia Australia LTU training@intersect.org.au [] [] [] host_institution []
  • Introduction to R and Data Visualisation

    17 - 18 August 2022

    Introduction to R and Data Visualisation https://dresa.org.au/events/introduction-to-r-and-data-visualisation This workshop will be a gentle introduction to the basics of R wherein every concept will be thoroughly explained and ample time will be allocated for attendees to explore the course content. The first day will involve familiarising with the R studio interface, data structures and data manipulation through dplyr and tidyverse packages. The second day will be introducing basic principles of data visualisation for scientific interpretation primarily through the ggplot2 suite. - $20 registration – Attendees who attend *at least 50% of the workshop* will be refunded the full amount. - Registration closes one day before the workshop, or when capacity is reached. - This workshop will run for 2 days. Please note that during the workshop, all important communications will be in the workshop slack channel. Join our mailing list at [https://www.combine.org.au/join/](https://www.combine.org.au/join/) and our slack channel at [http://bit.ly/COMBINE_SLACK](http://bit.ly/COMBINE_SLACK) to receive updates on events and workshops. 2022-08-17 10:00:00 UTC 2022-08-18 15:00:00 UTC Australian Computational Biology and Bioinformatics Student Society (COMBINE) Zoom & Slack (You will receive the zoom link and slack channel invite just before the workshop.), Virtual, Australia Zoom & Slack (You will receive the zoom link and slack channel invite just before the workshop.) Virtual Australia Australian Computational Biology and Bioinformatics Student Society (COMBINE) combine@combine.org.au [] anystudentsresearch studentsresearchers 40 workshop open_to_all []
  • Surveys in REDCap

    17 August 2022

    Surveys in REDCap https://dresa.org.au/events/surveys-in-redcap-21998846-7e8b-4efc-b1df-4fc023933c1e Research Electronic Data Capture (REDCap) is a secure web-based database application maintained by the University of Sydney. It is ideal for collecting and managing participant data and administering online surveys, with features supporting longitudinal data collection, complex team workflows and exports to a range of statistical analysis programs. **In "Surveys in REDCap", we will cover:** - How to turn a data collection instrument into a survey - How to distribute surveys - How to work with multiple surveys within a project (e.g. Survey Queue, Automated Survey Invitation features) **Essential pre-requisites:** You must know how to build a basic data entry project in REDCap. Please attend our "Intro to REDCap" webinar to cover this. **Target audience:** Students and staff at the University of Sydney who need to collect electronic data or responses from participants into a structured database. **Open to:** Academic and Professional Staff, research students, and affiliates of The University of Sydney (with a valid UniKey). If you do not have a UniKey, please contact us to confirm your position after registration. Please use your University of Sydney email address to register (e.g. first.last@sydney.edu.au, abcd1234@uni.sydney.edu.au) **Accessing the webinar:** Your confirmation **email from Eventbrite** will contain a button which will provide the details to access the Zoom webinar **For more information:** digital.research@sydney.edu.au Sydney Informatics Hub offers a broad range of training to researchers at the University. Please see our [training site](https://sydney.edu.au/research/facilities/sydney-informatics-hub/workshops-and-training.html)for more information. 2022-08-17 10:00:00 UTC 2022-08-17 12:00:00 UTC Sydney Informatics Hub Sydney, Australia Sydney Australia University of Sydney sih.training@sydney.edu.au [] [] [] host_institution []
  • Longitudinal Trials with REDCap at ACU Online

    17 August 2022

    Longitudinal Trials with REDCap at ACU Online https://dresa.org.au/events/longitudinal-trials-with-redcap-at-acu-online-98278549-7acd-4118-9afa-b5b70fddfc04 REDCap is a powerful and extensible application for managing and running longitiudinal data collection activities. With powerful features such as organising data collections instruments into predefined events, you can shephard your participants through a complex survey at various time points with very little configuration. This course will introduce some of REDCap's more advanced features for running longitudinal studies, and builds on the foundational material taught in REDCAP101 - Managing Data Capture and Surveys with REDCap. #### You'll learn: - Build a longitudinal project - Manage participants throughout multiple events - Configure and use Automated Survey Invitations - Use Smart Variables to add powerful features to your logic - Take advantage of high-granularity permissions for your collaborators - Understand the data structure of a longitudinal project #### Prerequisites: This course requires the participant to have a fairly good basic knowledge of REDCap. To come up to speed, consider taking our [Data Capture and Surveys with REDCap](https://intersect.org.au/training/course/redcap101/) workshop. **For more information, please click [here](https://intersect.org.au/training/course/redcap201).** 2022-08-17 10:00:00 UTC 2022-08-17 13:00:00 UTC Intersect Australia Australia Australia ACU training@intersect.org.au [] [] [] host_institution []
  • Experimental Design

    17 August 2022

    Experimental Design https://dresa.org.au/events/experimental-design-0ede1900-8937-4ba1-b019-590691bf3bd7 This presentation and workshop focuses on the key aspects of experimental design that researchers and students may need to apply in their research. Higher degree research students engaging in new research are especially invited to attend. During the workshop there will be the opportunity to discuss your own research question and associated experimental design. The workshop will include the following topics: - your research question - experimental validity - randomisation and bias - blinding and bias - blocking and confounding - fixed and random effects - replication, experimental units No pre-requisite knowledge of statistical methods is required. **Attendance options:** You will get the most out of this session by attending in person. This way allows you to interact with the presenters, ask questions directly, and catch up after the session. Please only choose online if circumstances prevent you from attending campus. **In person:** Choose the _**In person**_ ticket option. **Online:** Choose the _**Online Zoom**_ ticket option. It is recommended to have a dual monitor setup to view and participate remotely in the session. Registered attendees will receive a link to the Zoom event closer to the date. Sydney Informatics Hub - Open to: Academic and Professional Staff, research students, and affiliates of The University of Sydney (with a valid UniKey) - Please use your University of Sydney email address to register i.e. @sydney.edu.au, @uni.sydney.edu.au, etc - If you do not have a UniKey, please contact us to confirm your position after registration. **Registrations from open web email clients (@gmail.com, @hotmail.com etc) will AUTOMATICALLY be cancelled, without us contacting you!** 2022-08-17 11:30:00 UTC 2022-08-17 13:00:00 UTC Sydney Informatics Hub Sydney, Australia Sydney Australia University of Sydney sih.training@sydney.edu.au [] [] [] host_institution []
  • Power and Sample Size Calculation

    17 August 2022

    Power and Sample Size Calculation https://dresa.org.au/events/power-and-sample-size-calculation This is the registration page for **Power and Sample Size Calculation**, run by the Sydney Informatics Hub. This workshop covers the theory and concepts of power analysis and includes worked examples using G\*Power software. Attendees will follow the examples on their own laptop PC or Mac. It is essential you have G\*Power pre-installed on your machine prior to the workshop. Download software from the G\*Power website [here](http://www.psychologie.hhu.de/arbeitsgruppen/allgemeine-psychologie-und-arbeitspsychologie/gpower.html). (It's free, and available for both Windows and MacOS) **Attendance options:** You will get the most out of this session by attending in person. This way allows you to interact with the presenters, ask questions directly, and catch up after the session. Please only choose online if circumstances prevent you from attending campus. **In person:** Choose the "In person" ticket option. **Online:** Choose the "Online Zoom" ticket option. It is recommended to have a dual monitor setup to view and participate remotely in the session. Registered attendees will receive a link to the Zoom event closer to the date. Sydney Informatics Hub - Open to: Academic and Professional Staff, research students, and affiliates of The University of Sydney (with a valid UniKey) - Please use your **University of Sydney email address** to register i.e. **@sydney.edu.au, @uni.sydney.edu.au,** etc - If you do not have a UniKey, please contact us to confirm your position after registration. - Registrations from open web email clients (@gmail.com, @hotmail.com etc) will AUTOMATICALLY be cancelled, without us contacting you! 2022-08-17 14:00:00 UTC 2022-08-17 15:30:00 UTC Sydney Informatics Hub Sydney, Australia Sydney Australia University of Sydney sih.training@sydney.edu.au [] [] [] host_institution []
  • Data Manipulation in R at Deakin Online

    18 August 2022

    Data Manipulation in R at Deakin Online https://dresa.org.au/events/data-manipulation-in-r-at-deakin-online R is quickly gaining popularity as a programming language for statisticians, data scientists and researchers. It has an excellent ecosystem including the powerful RStudio and the Shiny web application framework. In this workshop, you will learn how to manipulate, explore and get insights from your data (Data Manipulation using the dplyr package), as well as how to convert your data from one format to another (Data Transformation using the tidyr package). We teach using RStudio, which allows program code, results, visualisations and documentation to be blended seamlessly. Join us for a live coding workshop where we write programs that produce results, using the researcher-focused training modules from Intersect and the highly regarded Software Carpentry Foundation. #### You'll learn: - DataFrame Manipulation using the dplyr package - DataFrame Transformation using the tidyr package #### Prerequisites: Either [Learn to Program: R](https://intersect.org.au/training/course/r101/) or [Learn to Program: R](https://intersect.org.au/training/course/r101/) and [R for Research](https://intersect.org.au/training/course/r110/) needed to attend this course. If you already have experience with programming, please check the topics covered in the [Learn to Program: R](https://intersect.org.au/training/course/r101/) and [R for Research](https://intersect.org.au/training/course/r110/) courses to ensure that you are familiar with the knowledge needed for this course. **For more information, please click [here](https://intersect.org.au/training/course/r201).** 2022-08-18 13:00:00 UTC 2022-08-18 16:00:00 UTC Intersect Australia Australia Australia Deakin training@intersect.org.au [] [] [] host_institution []
  • Getting Started with NVivo for Mac at UniSA Online

    18 August 2022

    Getting Started with NVivo for Mac at UniSA Online https://dresa.org.au/events/getting-started-with-nvivo-for-mac-at-unisa-online Does your research see you working through unstructured and non-numerical data? With the ability to collect, store and analyse different data types all in the one location makes, it's easy to see why NVivo is becoming the tool of choice for many researchers. NVivo allows researchers to simply organise and manage data from a variety of sources including surveys, interviews, articles, video, email, social media and web content, PDFs and images. Coding your data allows you to discover trends and compares themes as they emerge across different sources and data types. Using NVivo memos and visualisations combined with the ability to integrate with popular bibliographic tools you can get your research ready for publication sooner. #### You'll learn: - Create and organise a qualitative research project in NVivo - Import a range of data sources using NVivo's integrated tools - Code and classify your data - Format your data to take advantage of NVivo’s auto-coding ability - Use NVivo to discover new themes and trends in research - Visualise relationships and trends in your data #### Prerequisites: In order to participate, attendees must have a licensed copy of NVivo installed on their computer. Speak to your local university IT or Research Office for assistance in obtaining a license and installing the software. This course is taught using NVivo 12 Pro for Mac and is not suitable for NVivo for Windows users. **For more information, please click [here](https://intersect.org.au/training/course/nvivo102).** 2022-08-18 13:00:00 UTC 2022-08-18 16:00:00 UTC Intersect Australia Australia Australia UniSA training@intersect.org.au [] [] [] host_institution []
  • Getting started with NVivo for Windows at UNSW Online

    19 August 2022

    Getting started with NVivo for Windows at UNSW Online https://dresa.org.au/events/getting-started-with-nvivo-for-windows-at-unsw-online-83121132-19ff-4c1d-894d-2f0809f68b13 Does your research see you working through unstructured and non-numerical data? With the ability to collect, store and analyse different data types all in the one location makes, it's easy to see why NVivo is becoming the tool of choice for many researchers. NVivo allows researchers to simply organise and manage data from a variety of sources including surveys, interviews, articles, video, email, social media and web content, PDFs and images. Coding your data allows you to discover trends and compares themes as they emerge across different sources and data types. Using NVivo memos and visualisations combined with the ability to integrate with popular bibliographic tools you can get your research ready for publication sooner. #### You'll learn: - Create and organise a qualitative research project in NVivo - Import a range of data sources using NVivo's integrated tools - Code and classify your data - Format your data to take advantage of NVivo’s auto-coding ability - Use NVivo to discover new themes and trends in research - Visualise relationships and trends in your data #### Prerequisites: In order to participate, attendees must have a licensed copy of NVivo installed on their computer. Speak to your local university IT or Research Office for assistance in obtaining a license and installing the software. This course is taught using NVivo 12 Pro for Windows and is not suitable for NVivo for Mac users. **For more information, please click [here](https://intersect.org.au/training/course/nvivo101).** 2022-08-19 09:30:00 UTC 2022-08-19 12:30:00 UTC Intersect Australia Australia Australia UNSW training@intersect.org.au [] [] [] host_institution []
  • Data Visualisation in R at Deakin Online

    19 August 2022

    Data Visualisation in R at Deakin Online https://dresa.org.au/events/data-visualisation-in-r-at-deakin-online-a3e8f77b-8d72-496c-ba9e-1fcb54424419 R is quickly gaining popularity as a programming language for statisticians, data scientists and researchers. It has an excellent ecosystem including the powerful RStudio and the Shiny web application framework. In this workshop, you will explore different types of graphs and learn how to customise them using one of the most popular plotting packages in R, ggplot2 (Data Visualisation). We teach using RStudio, which allows program code, results, visualisations and documentation to be blended seamlessly. Join us for a live coding workshop where we write programs that produce results, using the researcher-focused training modules from Intersect and the highly regarded Software Carpentry Foundation. #### You'll learn: - Using the Grammar of Graphics to convert data into figures using the ggplot2 package - Configuring plot elements within ggplot2 - Exploring different types of plots using ggplot2 #### Prerequisites: Either [Learn to Program: R](https://intersect.org.au/training/course/r101/) or [Learn to Program: R](https://intersect.org.au/training/course/r101/) and [R for Research](https://intersect.org.au/training/course/r110/) needed to attend this course. If you already have experience with programming, please check the topics covered in the [Learn to Program: R](https://intersect.org.au/training/course/r101/) and [R for Research](https://intersect.org.au/training/course/r110/) courses to ensure that you are familiar with the knowledge needed for this course. We also strongly recommend attending the [Data Manipulation in R](https://intersect.org.au/training/course/r201/) course. **For more information, please click [here](https://intersect.org.au/training/course/r202).** 2022-08-19 13:00:00 UTC 2022-08-19 16:00:00 UTC Intersect Australia Australia Australia Deakin training@intersect.org.au [] [] [] host_institution []
  • Using Supercomputers: Parts 1 and 2

    22 - 23 August 2022

    Using Supercomputers: Parts 1 and 2 https://dresa.org.au/events/using-supercomputers-parts-1-and-2 In this course, students will be introduced to supercomputers and what makes them different to other computers. A typical supercomputing architecture, parallelism, compute resource sharing, command line interfaces and other key concepts and practices will be discussed. Students will practice what they learn using Pawsey's new supercomputer Setonix. 2022-08-22 10:00:00 UTC 2022-08-23 13:00:00 UTC Pawsey Supercomputing Research Centre Pawsey Supercomputing Research Centre training@pawsey.org.au [] [] workshopwebinar open_to_all supercomputingsupercomputersUnixSetonix
  • WORKSHOP: Single cell RNAseq analysis in R

    22 - 23 August 2022

    WORKSHOP: Single cell RNAseq analysis in R https://dresa.org.au/events/workshop-single-cell-rnaseq-analysis-in-r Analysis and interpretation of single cell RNAseq (scRNAseq) data requires dedicated workflows. In this hands-on workshop we will show you how to perform single cell analysis using[ Seurat](https://satijalab.org/seurat/index.html) - an R package for QC, analysis, and exploration of single-cell RNAseq data. We will discuss the ‘why’ behind each step and cover reading in the count data, quality control, filtering, normalisation, clustering, UMAP layout and identification of cluster markers. We will also explore various ways of visualising single cell expression data. **Lead trainers:** Dr Sarah Williams, Senior Bioinformatician, QCIF Mr Nick Matigan, Biostatistician and Bioinformatician, QCIF Dr Ahmed Mehdi, Senior Biostatistician, QCIF **Format** This online workshop will take place over two half-day sessions. You must attend both sessions. Expert trainers will guide you through each of the topics and provide activities to help you put your new skills into action. **Date/Time:** 22 and 23 August 2022, 1-5pm AEST/ ACST/AWST **Location:** Online **Learning outcomes:** By the end of the workshop you should be able to: 1. Load gene counts into a Seurat format 2. Perform QC and select cells for further analysis 3. Filter and normalise scRNAseq data 4. Cluster cells and identify cluster markers 5. Visualise scRNAseq expression data **Who the workshop is for:** This workshop is for Australian researchers who have or will work on scRNAseq data as part of their projects. You must be associated with an Australian organisation for your application to be considered. This workshop will not teach you the basics of R. While you don’t need to be an expert, you require some basic familiarity with R. For example you should be able to work with tables of data, know how to load an R package, make basic plots (ideally with ggplot2). You should also have basic knowledge of single cell RNA sequencing technology. **How to apply:** This workshop is free but participation is subject to application with selection. Applications will be reviewed by the organising committee and all applicants will be informed of the status of their application (successful, waiting list, unsuccessful). Successful applicants will be provided with a Zoom meeting link closer to the date. Applications close at **11:59pm AEDT, Wednesday 10 August 2022**. **[Apply here](https://biocommons-scrnaseq.eventbrite.com.au/)** _This workshop is presented by the[ Australian BioCommons](https://www.biocommons.org.au/) and[ Queensland Cyber Infrastructure Foundation (QCIF)](https://www.qcif.edu.au/) with the assistance of a network of facilitators from the national[ Bioinformatics Training Cooperative](https://www.biocommons.org.au/training-cooperative)._ _This event is part of a series of[ bioinformatics training events](https://www.biocommons.org.au/events). If you'd like to hear when registrations open for other events, please[ subscribe](https://www.biocommons.org.au/subscribe) to Australian BioCommons_ 2022-08-22 13:00:00 UTC 2022-08-23 17:00:00 UTC Australian BioCommons Australian Biocommons training@biocommons.org.au [] [] [] expression_of_interest Single Cell technologiesscRNAseqSeuratR software
  • Introduction to Programming: Plotting and Programming with Python

    23 - 26 August 2022

    Introduction to Programming: Plotting and Programming with Python https://dresa.org.au/events/introduction-to-programming-plotting-and-programming-with-python-19c02dfd-8e68-44ad-9719-cd01a24063cf This Software Carpentry workshop will introduce the building blocks of the Python scripting environment. Participants will start by exploring the command-line interface and basic programming concepts using Unix, before moving on to learn about simple and complex data types, conditionals and looping in Python. This workshop will prepare participants to carry out batch analysis and equip them with the knowledge to start creating automated pipelines to increase data processing power and productivity. 2022-08-23 09:00:00 UTC 2022-08-26 12:30:00 UTC QCIF QCIF training@qcif.edu.au [] [] workshop open_to_all []
  • Data Manipulation in R at ACU Online

    23 August 2022

    Data Manipulation in R at ACU Online https://dresa.org.au/events/data-manipulation-in-r-at-acu-online R is quickly gaining popularity as a programming language for statisticians, data scientists and researchers. It has an excellent ecosystem including the powerful RStudio and the Shiny web application framework. In this workshop, you will learn how to manipulate, explore and get insights from your data (Data Manipulation using the dplyr package), as well as how to convert your data from one format to another (Data Transformation using the tidyr package). We teach using RStudio, which allows program code, results, visualisations and documentation to be blended seamlessly. Join us for a live coding workshop where we write programs that produce results, using the researcher-focused training modules from Intersect and the highly regarded Software Carpentry Foundation. #### You'll learn: - DataFrame Manipulation using the dplyr package - DataFrame Transformation using the tidyr package #### Prerequisites: Either [Learn to Program: R](https://intersect.org.au/training/course/r101/) or [Learn to Program: R](https://intersect.org.au/training/course/r101/) and [R for Research](https://intersect.org.au/training/course/r110/) needed to attend this course. If you already have experience with programming, please check the topics covered in the [Learn to Program: R](https://intersect.org.au/training/course/r101/) and [R for Research](https://intersect.org.au/training/course/r110/) courses to ensure that you are familiar with the knowledge needed for this course. **For more information, please click [here](https://intersect.org.au/training/course/r201).** 2022-08-23 10:00:00 UTC 2022-08-23 13:00:00 UTC Intersect Australia Australia Australia ACU training@intersect.org.au [] [] [] host_institution []
  • Getting Started with NVivo for Mac at Deakin Online

    23 August 2022

    Getting Started with NVivo for Mac at Deakin Online https://dresa.org.au/events/getting-started-with-nvivo-for-mac-at-deakin-online Does your research see you working through unstructured and non-numerical data? With the ability to collect, store and analyse different data types all in the one location makes, it's easy to see why NVivo is becoming the tool of choice for many researchers. NVivo allows researchers to simply organise and manage data from a variety of sources including surveys, interviews, articles, video, email, social media and web content, PDFs and images. Coding your data allows you to discover trends and compares themes as they emerge across different sources and data types. Using NVivo memos and visualisations combined with the ability to integrate with popular bibliographic tools you can get your research ready for publication sooner. #### You'll learn: - Create and organise a qualitative research project in NVivo - Import a range of data sources using NVivo's integrated tools - Code and classify your data - Format your data to take advantage of NVivo’s auto-coding ability - Use NVivo to discover new themes and trends in research - Visualise relationships and trends in your data #### Prerequisites: In order to participate, attendees must have a licensed copy of NVivo installed on their computer. Speak to your local university IT or Research Office for assistance in obtaining a license and installing the software. This course is taught using NVivo 12 Pro for Mac and is not suitable for NVivo for Windows users. **For more information, please click [here](https://intersect.org.au/training/course/nvivo102).** 2022-08-23 13:00:00 UTC 2022-08-23 16:30:00 UTC Intersect Australia Australia Australia Deakin training@intersect.org.au [] [] [] host_institution []
  • Learn to Program: Python at UNSW Online

    23 - 24 August 2022

    Learn to Program: Python at UNSW Online https://dresa.org.au/events/learn-to-program-python-at-unsw-online-ef054e6e-4376-44bc-9b6a-b2a9ce5d9733 Python has deservedly become a popular language for scientific computing. It has all the friendly features and conveniences you'd expect of a modern programming language, and also a rich set of libraries for working with data. We teach using Jupyter notebooks, which allow program code, results, visualisations and documentation to be blended seamlessly. Perfect for sharing insights with others while producing reproducible research. Join us for this live coding workshop where we write programs that produce results, using the researcher-focused training modules from the highly regarded Software Carpentry Foundation. #### You'll learn: - Introduction to the JupyterLab interface for programming - Basic syntax and data types in Python - How to load external data into Python - Creating functions (FUNCTIONS) - Repeating actions and anylsing multiple data sets (LOOPS) - Making choices (IF STATEMENTS - CONDITIONALS) - Ways to visualise data in Python #### Prerequisites: No prior experience with programming needed to attend this course. We strongly recommend attending the Start Coding without Hesitation: Programming Languages Showdown and Thinking like a computer: The Fundamentals of Programming webinars. Recordings of previously delivered webinars can be found [here](https://intersect.org.au/training/webinars/). **For more information, please click [here](https://intersect.org.au/training/course/python101).** 2022-08-23 13:30:00 UTC 2022-08-24 12:30:00 UTC Intersect Australia Australia Australia UNSW training@intersect.org.au [] [] [] host_institution []
  • Data Visualisation in R at ACU Online

    24 August 2022

    Data Visualisation in R at ACU Online https://dresa.org.au/events/data-visualisation-in-r-at-acu-online R is quickly gaining popularity as a programming language for statisticians, data scientists and researchers. It has an excellent ecosystem including the powerful RStudio and the Shiny web application framework. In this workshop, you will explore different types of graphs and learn how to customise them using one of the most popular plotting packages in R, ggplot2 (Data Visualisation). We teach using RStudio, which allows program code, results, visualisations and documentation to be blended seamlessly. Join us for a live coding workshop where we write programs that produce results, using the researcher-focused training modules from Intersect and the highly regarded Software Carpentry Foundation. #### You'll learn: - Using the Grammar of Graphics to convert data into figures using the ggplot2 package - Configuring plot elements within ggplot2 - Exploring different types of plots using ggplot2 #### Prerequisites: Either [Learn to Program: R](https://intersect.org.au/training/course/r101/) or [Learn to Program: R](https://intersect.org.au/training/course/r101/) and [R for Research](https://intersect.org.au/training/course/r110/) needed to attend this course. If you already have experience with programming, please check the topics covered in the [Learn to Program: R](https://intersect.org.au/training/course/r101/) and [R for Research](https://intersect.org.au/training/course/r110/) courses to ensure that you are familiar with the knowledge needed for this course. We also strongly recommend attending the [Data Manipulation in R](https://intersect.org.au/training/course/r201/) course. **For more information, please click [here](https://intersect.org.au/training/course/r202).** 2022-08-24 10:00:00 UTC 2022-08-24 13:00:00 UTC Intersect Australia Australia Australia ACU training@intersect.org.au [] [] [] host_institution []
  • Data Capture and Surveys with REDCap at LTU Online

    24 August 2022

    Data Capture and Surveys with REDCap at LTU Online https://dresa.org.au/events/data-capture-and-surveys-with-redcap-at-ltu-online-55eba516-e50c-463a-b73a-12b9588f2113 Would you like to enable secure and reliable data collection forms and manage online surveys? Would your study benefit from web-based data entry? Research Electronic Data Capture (REDCap) might be for you. This course will introduce you to REDCap, a rapidly evolving web tool developed by researchers for researchers. REDCap features a high level of security, and a high degree of customisability for your forms and advanced user access control. It also features free, unlimited survey distribution functionality and a sophisticated export module with support for all standard statistical programs. #### You'll learn: - Get started with REDCap - Create and set up projects - Design forms and surveys using the online designer - Learn how to use branching logic, piping, and calculations - Enter data via forms and distribute surveys - Create, view and export data reports - Add collaborators and set their privileges #### Prerequisites: The course has no prerequisites. **For more information, please click [here](https://intersect.org.au/training/course/redcap101).** 2022-08-24 10:00:00 UTC 2022-08-24 13:00:00 UTC Intersect Australia Australia Australia LTU training@intersect.org.au [] [] [] host_institution []
  • WEBINAR: Getting started with whole genome mapping and variant calling on the command line

    24 August 2022

    WEBINAR: Getting started with whole genome mapping and variant calling on the command line https://dresa.org.au/events/webinar-getting-started-with-whole-genome-mapping-and-variant-calling-on-the-command-line Life scientists are increasingly using whole genome sequencing (WGS) to ask and answer research questions across the tree of life. Before any of this work can be done, there is the essential but challenging task of processing raw sequencing data. Processing WGS data is a computationally challenging, multi-step process used to create a map of an individual’s genome and identify genetic variant sites. The tools you use in this process and overall workflow design can look very different for different researchers, it all depends on your dataset and the research questions you’re asking. Luckily, there are lots of existing WGS processing tools and pipelines out there, but knowing where to start and what your specific needs are is hard work, no matter how experienced you are. In this webinar we will walk through the essential steps and considerations for researchers who are running and building reproducible WGS mapping and variant calling pipelines at the command line interface. We will discuss how to choose and evaluate a pipeline that is right for your dataset and research questions, and how to get access to the compute resources you need. **Who the webinar is for** This webinar is intended for life scientists who are using and building whole genome sequencing mapping and variant calling pipelines. Some familiarity with the concepts of whole genome sequencing is recommended. **Presenter:** Dr Georgina Samaha, Sydney Informatics Hub, University of Sydney **Date/time:** 24 August 2021 - 12:00-13:00 AEST / 11:30 - 12:30 ACST / 10:00-11:00 AWST **How to join:** This webinar is free to join but you must register for a place in advance. **[Register here] (https://unimelb.zoom.us/webinar/register/WN_ekHib2_2QYazaH06VFMPgQ)** 2022-08-24 12:00:00 UTC 2022-08-24 13:00:00 UTC Australian BioCommons Online, Australia Online Australia Australian Biocommons training@biocommons.org.au [] [] 500 webinar open_to_all BioinformaticsworkflowsWhole genome sequencingVariant callingSequence mapping
  • ARDC Digital Research Skills Summit 2022

    29 - 30 August 2022

    Sydney, Australia

    ARDC Digital Research Skills Summit 2022 https://dresa.org.au/events/ardc-digital-research-skills-summit-2022 The Summit is for anyone interested in driving the development of a national digitally skilled research workforce. 2022-08-29 10:00:00 UTC 2022-08-30 15:30:00 UTC Australian Research Data Commons 389 Pitt Street, Sydney, Australia 389 Pitt Street Sydney Australia 2000 Australian Research Data Commons (ARDC) Kathryn Unsworth (kathryn.unsworth@ardc.edu.au) [] [] 150 conference open_to_all Other
  • Data Reduction / Refactoring (with ADIOS)

    30 August 2022

    Data Reduction / Refactoring (with ADIOS) https://dresa.org.au/events/data-reduction-refactoring-with-adios This HYBRID event features Oak Ridge National Labs Specialists, who will be discussing data reduction/refactoring using ADIOS. New technologies allow data to be generated at unprecedented rates and scales in fields ranging from high energy physics and nuclear physics to radio astronomy and photon sciences. The resulting data streams are scientifically rich; however, it is becoming increasingly impractical to store them in their entirety. And, while great strides have been made in data reduction in fields such as digital media, scientific data presents unique challenges. New methods for reducing streaming and voluminous data sets while maintaining accurate representations of scientifically relevant derived quantities of interest (QoIs) are of critical and growing importance for today’s science. To tackle these goals, Dr. Scott Klasky, Dr. Norbert Podhorszki, and their group have worked closely with many large-scale applications and researchers to co-design critical software infrastructure for these communities. These research artifacts have been fully integrated into many of the largest simulations and experiments, and have increased the performance of these codes by over 10X. In this presentation, they discuss the research details on three major contributions: large-scale self-describing parallel I/O (ADIOS), in situ/streaming data (SST), and data reduction/refactoring (MGARD). 2022-08-30 09:30:00 UTC 2022-08-30 11:00:00 UTC Pawsey Supercomputing Research Centre CSIRO - Kensington, Australian Resources Research Centre (ARRC), 26 Dick Perry Avenue, Kensington, Australia CSIRO - Kensington, Australian Resources Research Centre (ARRC), 26 Dick Perry Avenue Kensington Australia 6151 Pawsey Supercomputing Research Centre training@pawsey.org.au [] [] webinar open_to_all Data analysisdata managementsupercomputerssupercomputingexascale
  • Linear Models 1: Linear regression, ANOVA, ANCOVA and repeated measures (a simple mixed model)

    30 August 2022

    Linear Models 1: Linear regression, ANOVA, ANCOVA and repeated measures (a simple mixed model) https://dresa.org.au/events/linear-models-1-linear-regression-anova-ancova-and-repeated-measures-a-simple-mixed-model **Linear Models 1: Linear regression, ANOVA, ANCOVA and repeated measures (a simple mixed model)** focuses on Practical Data Analysis by presenting Statistical Workflows applicable in any software for 4 of the most common univariate analyses: linear regression, ANOVA, ANCOVA, and repeated measures (a simple mixed model). All assuming a normal (gaussian) residual. These workflows can be easily extended to more complex models. The R code used to create output is also included. ​ This is one of 3 workshops for researchers interested in statistical methods such as linear regression, ANOVA, ANCOVA, mixed models, logistic/binary and count (Poisson) regression. Each one builds on the preceding workshops and together they show how all these analyses can be performed using the same easy to understand Generalised Linear Mixed Model (GLMM) framework and workflow. As well as how they can be used to analyse experimental designs such as Control vs Treatment, Randomised Control Trials (RCT’s), Before After Control Impact (BACI) analysis, repeated measures plus many more. There is also a 4th complementary workshop called Statistical Model Building which we recommend for those experienced with Linear Models or who have done at least the first 2 of our workshops. The material is organised around Statistical Workflows applicable in any software that give step by step instructions on how to do the analysis including assumption testing, model interpretation and presentation of results. **Attendance options:** You will get the most out of this session by attending in person. This way allows you to interact with the presenters, ask questions directly, and catch up after the session. Please only choose online if circumstances prevent you from attending campus. **In person @Camden:** Choose the "In person" ticket option. **Online:** Choose the "Online Zoom" ticket option. It is recommended to have a dual monitor setup to view and participate remotely in the session. Registered attendees will receive a link to the Zoom event closer to the date. Sydney Informatics Hub - Open to: Academic and Professional Staff, research students, and affiliates of The University of Sydney (with a valid UniKey) - Please use your **University of Sydney email address** to register i.e. **@sydney.edu.au, @uni.sydney.edu.au,** etc - If you do not have a UniKey, please contact us to confirm your position after registration. - Registrations from open web email clients (@gmail.com, @hotmail.com etc) will AUTOMATICALLY be cancelled, without us contacting you! 2022-08-30 09:30:00 UTC 2022-08-30 11:00:00 UTC Sydney Informatics Hub Sydney, Australia Sydney Australia University of Sydney sih.training@sydney.edu.au [] [] [] host_institution []
  • Learn to Program: Python at UOA Online

    30 - 31 August 2022

    Learn to Program: Python at UOA Online https://dresa.org.au/events/learn-to-program-python-at-uoa-online-61af5608-d5c7-4d4b-ba51-850c00f1abfc Python has deservedly become a popular language for scientific computing. It has all the friendly features and conveniences you'd expect of a modern programming language, and also a rich set of libraries for working with data. We teach using Jupyter notebooks, which allow program code, results, visualisations and documentation to be blended seamlessly. Perfect for sharing insights with others while producing reproducible research. Join us for this live coding workshop where we write programs that produce results, using the researcher-focused training modules from the highly regarded Software Carpentry Foundation. #### You'll learn: - Introduction to the JupyterLab interface for programming - Basic syntax and data types in Python - How to load external data into Python - Creating functions (FUNCTIONS) - Repeating actions and anylsing multiple data sets (LOOPS) - Making choices (IF STATEMENTS - CONDITIONALS) - Ways to visualise data in Python #### Prerequisites: No prior experience with programming needed to attend this course. We strongly recommend attending the Start Coding without Hesitation: Programming Languages Showdown and Thinking like a computer: The Fundamentals of Programming webinars. Recordings of previously delivered webinars can be found [here](https://intersect.org.au/training/webinars/). **For more information, please click [here](https://intersect.org.au/training/course/python101).** 2022-08-30 09:30:00 UTC 2022-08-31 12:30:00 UTC Intersect Australia Australia Australia UOA training@intersect.org.au [] [] [] host_institution []
  • Linear Models 2: Logistic and Poisson/count regression-an introduction to Generalised Linear Models (GLM)

    30 August 2022

    Linear Models 2: Logistic and Poisson/count regression-an introduction to Generalised Linear Models (GLM) https://dresa.org.au/events/linear-models-2-logistic-and-poisson-count-regression-an-introduction-to-generalised-linear-models-glm **Linear Models 2: Logistic and Poisson/count regression-an introduction to Generalised Linear Models (GLM)**, focuses on Practical data analysis by presenting statistical workflows applicable in any software for two of the more common GLMM’s: Logistic regression for binary data (using a Binomial distribution); and Poisson/count regression for count data (using a Poisson distribution). The GLM framework is also described in detail. The R code used to create output is also included. ​ This is the second of 3 workshops for researchers interested in statistical methods such as linear regression, ANOVA, ANCOVA, mixed models, logistic/binary and count (Poisson) regression. Each one builds on the preceding workshops and together they show how all these analyses can be performed using the same easy to understand Generalised Linear Mixed Model (GLMM) framework and workflow. As well as how they can be used to analyse experimental designs such as Control vs Treatment, Randomised Control Trials (RCT’s), Before After Control Impact (BACI) analysis, repeated measures plus many more. There is also a 4th complementary workshop called Statistical Model Building which we recommend for those experienced with Linear Models or who have done at least the first 2 of our workshops. The material is organised around statistical workflows applicable in any software that give step by step instructions on how to do the analysis including assumption testing, model interpretation and presentation of results. **Attendance options:** You will get the most out of this session by attending in person. This way allows you to interact with the presenters, ask questions directly, and catch up after the session. Please only choose online if circumstances prevent you from attending campus. **In person @Camden:** Choose the "In person" ticket option. **Online:** Choose the "Online Zoom" ticket option. It is recommended to have a dual monitor setup to view and participate remotely in the session. Registered attendees will receive a link to the Zoom event closer to the date. Sydney Informatics Hub - Open to: Academic and Professional Staff, research students, and affiliates of The University of Sydney (with a valid UniKey) - Please use your **University of Sydney email address** to register i.e. **@sydney.edu.au, @uni.sydney.edu.au,** etc - If you do not have a UniKey, please contact us to confirm your position after registration. - Registrations from open web email clients (@gmail.com, @hotmail.com etc) will AUTOMATICALLY be cancelled, without us contacting you! 2022-08-30 11:30:00 UTC 2022-08-30 13:00:00 UTC Sydney Informatics Hub Sydney, Australia Sydney Australia University of Sydney sih.training@sydney.edu.au [] [] [] host_institution []
  • NCI-NVIDIA HPC-AI Hackathon

    6 - 15 August 2022

    NCI-NVIDIA HPC-AI Hackathon https://dresa.org.au/events/nci-nvidia-hpc-ai-hackathon Full Submission closes. 2022-08-06 00:00:00 UTC 2022-08-15 23:59:00 UTC NCI NCINVIDIA training.nci@anu.edu.au [] [] [] expression_of_interesthost_institution []
  • Data Capture and Surveys with REDCap at ACU Online

    16 August 2022

    Data Capture and Surveys with REDCap at ACU Online https://dresa.org.au/events/data-capture-and-surveys-with-redcap-at-acu-online-d87b73b8-4708-450b-a1fd-b571d64c698c Would you like to enable secure and reliable data collection forms and manage online surveys? Would your study benefit from web-based data entry? Research Electronic Data Capture (REDCap) might be for you. This course will introduce you to REDCap, a rapidly evolving web tool developed by researchers for researchers. REDCap features a high level of security, and a high degree of customisability for your forms and advanced user access control. It also features free, unlimited survey distribution functionality and a sophisticated export module with support for all standard statistical programs. #### You'll learn: - Get started with REDCap - Create and set up projects - Design forms and surveys using the online designer - Learn how to use branching logic, piping, and calculations - Enter data via forms and distribute surveys - Create, view and export data reports - Add collaborators and set their privileges #### Prerequisites: The course has no prerequisites. **For more information, please click [here](https://intersect.org.au/training/course/redcap101).** 2022-08-16 10:00:00 UTC 2022-08-16 13:00:00 UTC Intersect Australia Australia Australia ACU training@intersect.org.au [] [] [] host_institution []
  • Learn to Program: Python at UniSA Online

    16 - 17 August 2022

    Learn to Program: Python at UniSA Online https://dresa.org.au/events/learn-to-program-python-at-unisa-online-a813467c-56b6-42ea-b1c2-3ced2ccb7619 Python has deservedly become a popular language for scientific computing. It has all the friendly features and conveniences you'd expect of a modern programming language, and also a rich set of libraries for working with data. We teach using Jupyter notebooks, which allow program code, results, visualisations and documentation to be blended seamlessly. Perfect for sharing insights with others while producing reproducible research. Join us for this live coding workshop where we write programs that produce results, using the researcher-focused training modules from the highly regarded Software Carpentry Foundation. #### You'll learn: - Introduction to the JupyterLab interface for programming - Basic syntax and data types in Python - How to load external data into Python - Creating functions (FUNCTIONS) - Repeating actions and anylsing multiple data sets (LOOPS) - Making choices (IF STATEMENTS - CONDITIONALS) - Ways to visualise data in Python #### Prerequisites: No prior experience with programming needed to attend this course. We strongly recommend attending the Start Coding without Hesitation: Programming Languages Showdown and Thinking like a computer: The Fundamentals of Programming webinars. Recordings of previously delivered webinars can be found [here](https://intersect.org.au/training/webinars/). **For more information, please click [here](https://intersect.org.au/training/course/python101).** 2022-08-16 13:00:00 UTC 2022-08-17 16:00:00 UTC Intersect Australia Australia Australia UniSA training@intersect.org.au [] [] [] host_institution []
  • Excel for Researchers at UNSW Online

    16 - 17 August 2022

    Excel for Researchers at UNSW Online https://dresa.org.au/events/excel-for-researchers-at-unsw-online-ffb839a5-32dc-415c-8c04-3ff8be0e6b26 Data rarely comes in the form you require. Often it is messy. Sometimes it is incomplete. And sometimes there's too much of it. Frequently, it has errors. We'll use one of the most widespread data wrangling tools, Microsoft Excel, to import, sort, filter, copy, protect, transform, summarise, merge, and visualise research data. While aimed at novice Excel users, most attendees will walk away with new tricks to work more efficiently with their research data. #### You'll learn: - 'Clean up’ messy research data - Organise, format and name your data - Interpret your data (SORTING, FILTERING, CONDITIONAL FORMATTING) - Perform calculations on your data using functions (MAX, MIN, AVERAGE) - Extract significant findings from your data (PIVOT TABLE, VLOOKUP) - Manipulate your data (convert data format, work with DATES and TIMES) - Create graphs and charts to visualise your data (CHARTS) - Handy tips to speed up your work #### Prerequisites: In order to participate, attendees must have a licensed copy of Microsoft Excel installed on their computer. Speak to your local university IT or Research Office for assistance in obtaining a license and installing the software. **For more information, please click [here](https://intersect.org.au/training/course/excel101).** 2022-08-16 13:30:00 UTC 2022-08-17 12:30:00 UTC Intersect Australia Australia Australia UNSW training@intersect.org.au [] [] [] host_institution []
  • Learn to Program: R at UC Online

    16 - 17 August 2022

    Learn to Program: R at UC Online https://dresa.org.au/events/learn-to-program-r-at-uc-online-fcd3333b-1560-4dc5-81e5-95b5e589de48 R is quickly gaining popularity as a programming language of choice for statisticians, data scientists and researchers. It has an excellent ecosystem including the powerful RStudio development environment and the Shiny web application framework. But getting started with R can be challenging, particularly if you've never programmed before. That's where this introductory course comes in. We teach using RStudio, which allows program code, results, visualisations and documentation to be blended seamlessly. Join us for a live coding workshop where we write programs that produce results, using the researcher-focused training modules from the highly regarded Software Carpentry Foundation. #### You'll learn: - Introduction to the RStudio interface for programming - Basic syntax and data types in R - How to load external data into R - Creating functions (FUNCTIONS) - Repeating actions and analysing multiple data sets (LOOPS) - Making choices (IF STATEMENTS - CONDITIONALS) - Ways to visualise data in R #### Prerequisites: No prior experience with programming needed to attend this course. We strongly recommend attending the Start Coding without Hesitation: Programming Languages Showdown and Thinking like a computer: The Fundamentals of Programming webinars. Recordings of previously delivered webinars can be found [here](https://intersect.org.au/training/webinars/). **For more information, please click [here](https://intersect.org.au/training/course/r101).** 2022-08-16 13:30:00 UTC 2022-08-17 12:30:00 UTC Intersect Australia Australia Australia UC training@intersect.org.au [] [] [] host_institution []
  • Research Essentials - analysing your data

    17 August 2022

    Research Essentials - analysing your data https://dresa.org.au/events/research-essentials-analysing-your-data-e96d6627-7133-4fd7-b9cb-1425e644cde2 **Research Essentials - Analysing your data** This workshop presents methods and concepts that will help you create world-changing research worthy of top-tier journals. We introduce the concept of a research workflow, a series of defined steps that will assist you in thinking about your data and preparing it for statistical analysis. We introduce you to the resources available from both Sydney Informatics Hub and across the University that will support you in proceeding from hypothesis generation all the way through to publication. Data analysis concepts will be covered in detail, including: how experimental design fits into hypothesis generation and your final publication; how to manage your analysis data and Exploratory Data Analysis (EDA) – an essential and often-overlooked stage of data analysis for determining the appropriate statistical methods to apply in your research. We will show you some of the more advanced statistical analysis methods to give you and idea of what is possible. Note that this workshop does not require knowledge of or use of specific statistics software. The analysis methods may be performed using a range of commonly available software through the university. **Attendance options:** You will get the most out of this session by attending in person. This way allows you to interact with the presenters, ask questions directly, and catch up after the session. Please only choose online if circumstances prevent you from attending campus. **In person:** Choose the **_In person_** ticket option. **Online:** Choose the **_Online Zoom_** ticket option. It is recommended to have a dual monitor setup to view and participate remotely in the session. Registered attendees will receive a link to the Zoom event closer to the date. **Sydney Informatics Hub** - Open to: Academic and Professional Staff, research students, and affiliates of The University of Sydney (with a valid UniKey) - Please use your University of Sydney email address to register i.e. @sydney.edu.au, @uni.sydney.edu.au, etc - If you do not have a UniKey, please contact us to confirm your position after registration. **Registrations from open web email clients (@gmail.com, @hotmail.com etc) will AUTOMATICALLY be cancelled, without us contacting you!** 2022-08-17 09:30:00 UTC 2022-08-17 11:00:00 UTC Sydney Informatics Hub Sydney, Australia Sydney Australia University of Sydney sih.training@sydney.edu.au [] [] [] host_institution []
  • Getting started with HPC using PBS Pro at LTU Online

    17 - 18 August 2022

    Getting started with HPC using PBS Pro at LTU Online https://dresa.org.au/events/getting-started-with-hpc-using-pbs-pro-at-ltu-online-cb56cbc3-0151-4b9a-8fad-0c51786e0360 Is your computer's limited power throttling your research ambitions? Are your analysis scripts pushing your laptop's processor to its limits? Is your software crashing because you’ve run out of memory? Would you like to unleash to power of the Unix command line to automate and run your analysis on supercomputers that you can access for free? High-Performance Computing (HPC) allows you to accomplish your analysis faster by using many parallel CPUs and huge amounts of memory simultaneously. This course provides a hands on introduction to running software on HPC infrastructure using PBS Pro. #### You'll learn: - Connect to an HPC cluster - Use the Unix command line to operate a remote computer and create job scripts - Submit and manage jobs on a cluster using a scheduler - Transfer files to and from a remote computer - Use software through environment modules - Use parallelisation to speed up data analysis - Access the facilities available to you as a researcher - This is the PBS Pro version of the Getting Started with HPC course. #### Prerequisites: This course assumes basic familiarity with the Bash command line environment found on GNU/Linux and other Unix-like environments. To come up to speed, consider taking our [Unix Shell and Command Line Basics](https://intersect.org.au/training/course/unix101/) course. **For more information, please click [here](https://intersect.org.au/training/course/hpc201).** 2022-08-17 09:30:00 UTC 2022-08-18 12:30:00 UTC Intersect Australia Australia Australia LTU training@intersect.org.au [] [] [] host_institution []
  • Introduction to R and Data Visualisation

    17 - 18 August 2022

    Introduction to R and Data Visualisation https://dresa.org.au/events/introduction-to-r-and-data-visualisation This workshop will be a gentle introduction to the basics of R wherein every concept will be thoroughly explained and ample time will be allocated for attendees to explore the course content. The first day will involve familiarising with the R studio interface, data structures and data manipulation through dplyr and tidyverse packages. The second day will be introducing basic principles of data visualisation for scientific interpretation primarily through the ggplot2 suite. - $20 registration – Attendees who attend *at least 50% of the workshop* will be refunded the full amount. - Registration closes one day before the workshop, or when capacity is reached. - This workshop will run for 2 days. Please note that during the workshop, all important communications will be in the workshop slack channel. Join our mailing list at [https://www.combine.org.au/join/](https://www.combine.org.au/join/) and our slack channel at [http://bit.ly/COMBINE_SLACK](http://bit.ly/COMBINE_SLACK) to receive updates on events and workshops. 2022-08-17 10:00:00 UTC 2022-08-18 15:00:00 UTC Australian Computational Biology and Bioinformatics Student Society (COMBINE) Zoom & Slack (You will receive the zoom link and slack channel invite just before the workshop.), Virtual, Australia Zoom & Slack (You will receive the zoom link and slack channel invite just before the workshop.) Virtual Australia Australian Computational Biology and Bioinformatics Student Society (COMBINE) combine@combine.org.au [] anystudentsresearch studentsresearchers 40 workshop open_to_all []
  • Surveys in REDCap

    17 August 2022

    Surveys in REDCap https://dresa.org.au/events/surveys-in-redcap-21998846-7e8b-4efc-b1df-4fc023933c1e Research Electronic Data Capture (REDCap) is a secure web-based database application maintained by the University of Sydney. It is ideal for collecting and managing participant data and administering online surveys, with features supporting longitudinal data collection, complex team workflows and exports to a range of statistical analysis programs. **In "Surveys in REDCap", we will cover:** - How to turn a data collection instrument into a survey - How to distribute surveys - How to work with multiple surveys within a project (e.g. Survey Queue, Automated Survey Invitation features) **Essential pre-requisites:** You must know how to build a basic data entry project in REDCap. Please attend our "Intro to REDCap" webinar to cover this. **Target audience:** Students and staff at the University of Sydney who need to collect electronic data or responses from participants into a structured database. **Open to:** Academic and Professional Staff, research students, and affiliates of The University of Sydney (with a valid UniKey). If you do not have a UniKey, please contact us to confirm your position after registration. Please use your University of Sydney email address to register (e.g. first.last@sydney.edu.au, abcd1234@uni.sydney.edu.au) **Accessing the webinar:** Your confirmation **email from Eventbrite** will contain a button which will provide the details to access the Zoom webinar **For more information:** digital.research@sydney.edu.au Sydney Informatics Hub offers a broad range of training to researchers at the University. Please see our [training site](https://sydney.edu.au/research/facilities/sydney-informatics-hub/workshops-and-training.html)for more information. 2022-08-17 10:00:00 UTC 2022-08-17 12:00:00 UTC Sydney Informatics Hub Sydney, Australia Sydney Australia University of Sydney sih.training@sydney.edu.au [] [] [] host_institution []
  • Longitudinal Trials with REDCap at ACU Online

    17 August 2022

    Longitudinal Trials with REDCap at ACU Online https://dresa.org.au/events/longitudinal-trials-with-redcap-at-acu-online-98278549-7acd-4118-9afa-b5b70fddfc04 REDCap is a powerful and extensible application for managing and running longitiudinal data collection activities. With powerful features such as organising data collections instruments into predefined events, you can shephard your participants through a complex survey at various time points with very little configuration. This course will introduce some of REDCap's more advanced features for running longitudinal studies, and builds on the foundational material taught in REDCAP101 - Managing Data Capture and Surveys with REDCap. #### You'll learn: - Build a longitudinal project - Manage participants throughout multiple events - Configure and use Automated Survey Invitations - Use Smart Variables to add powerful features to your logic - Take advantage of high-granularity permissions for your collaborators - Understand the data structure of a longitudinal project #### Prerequisites: This course requires the participant to have a fairly good basic knowledge of REDCap. To come up to speed, consider taking our [Data Capture and Surveys with REDCap](https://intersect.org.au/training/course/redcap101/) workshop. **For more information, please click [here](https://intersect.org.au/training/course/redcap201).** 2022-08-17 10:00:00 UTC 2022-08-17 13:00:00 UTC Intersect Australia Australia Australia ACU training@intersect.org.au [] [] [] host_institution []
  • Experimental Design

    17 August 2022

    Experimental Design https://dresa.org.au/events/experimental-design-0ede1900-8937-4ba1-b019-590691bf3bd7 This presentation and workshop focuses on the key aspects of experimental design that researchers and students may need to apply in their research. Higher degree research students engaging in new research are especially invited to attend. During the workshop there will be the opportunity to discuss your own research question and associated experimental design. The workshop will include the following topics: - your research question - experimental validity - randomisation and bias - blinding and bias - blocking and confounding - fixed and random effects - replication, experimental units No pre-requisite knowledge of statistical methods is required. **Attendance options:** You will get the most out of this session by attending in person. This way allows you to interact with the presenters, ask questions directly, and catch up after the session. Please only choose online if circumstances prevent you from attending campus. **In person:** Choose the _**In person**_ ticket option. **Online:** Choose the _**Online Zoom**_ ticket option. It is recommended to have a dual monitor setup to view and participate remotely in the session. Registered attendees will receive a link to the Zoom event closer to the date. Sydney Informatics Hub - Open to: Academic and Professional Staff, research students, and affiliates of The University of Sydney (with a valid UniKey) - Please use your University of Sydney email address to register i.e. @sydney.edu.au, @uni.sydney.edu.au, etc - If you do not have a UniKey, please contact us to confirm your position after registration. **Registrations from open web email clients (@gmail.com, @hotmail.com etc) will AUTOMATICALLY be cancelled, without us contacting you!** 2022-08-17 11:30:00 UTC 2022-08-17 13:00:00 UTC Sydney Informatics Hub Sydney, Australia Sydney Australia University of Sydney sih.training@sydney.edu.au [] [] [] host_institution []
  • Power and Sample Size Calculation

    17 August 2022

    Power and Sample Size Calculation https://dresa.org.au/events/power-and-sample-size-calculation This is the registration page for **Power and Sample Size Calculation**, run by the Sydney Informatics Hub. This workshop covers the theory and concepts of power analysis and includes worked examples using G\*Power software. Attendees will follow the examples on their own laptop PC or Mac. It is essential you have G\*Power pre-installed on your machine prior to the workshop. Download software from the G\*Power website [here](http://www.psychologie.hhu.de/arbeitsgruppen/allgemeine-psychologie-und-arbeitspsychologie/gpower.html). (It's free, and available for both Windows and MacOS) **Attendance options:** You will get the most out of this session by attending in person. This way allows you to interact with the presenters, ask questions directly, and catch up after the session. Please only choose online if circumstances prevent you from attending campus. **In person:** Choose the "In person" ticket option. **Online:** Choose the "Online Zoom" ticket option. It is recommended to have a dual monitor setup to view and participate remotely in the session. Registered attendees will receive a link to the Zoom event closer to the date. Sydney Informatics Hub - Open to: Academic and Professional Staff, research students, and affiliates of The University of Sydney (with a valid UniKey) - Please use your **University of Sydney email address** to register i.e. **@sydney.edu.au, @uni.sydney.edu.au,** etc - If you do not have a UniKey, please contact us to confirm your position after registration. - Registrations from open web email clients (@gmail.com, @hotmail.com etc) will AUTOMATICALLY be cancelled, without us contacting you! 2022-08-17 14:00:00 UTC 2022-08-17 15:30:00 UTC Sydney Informatics Hub Sydney, Australia Sydney Australia University of Sydney sih.training@sydney.edu.au [] [] [] host_institution []
  • Data Manipulation in R at Deakin Online

    18 August 2022

    Data Manipulation in R at Deakin Online https://dresa.org.au/events/data-manipulation-in-r-at-deakin-online R is quickly gaining popularity as a programming language for statisticians, data scientists and researchers. It has an excellent ecosystem including the powerful RStudio and the Shiny web application framework. In this workshop, you will learn how to manipulate, explore and get insights from your data (Data Manipulation using the dplyr package), as well as how to convert your data from one format to another (Data Transformation using the tidyr package). We teach using RStudio, which allows program code, results, visualisations and documentation to be blended seamlessly. Join us for a live coding workshop where we write programs that produce results, using the researcher-focused training modules from Intersect and the highly regarded Software Carpentry Foundation. #### You'll learn: - DataFrame Manipulation using the dplyr package - DataFrame Transformation using the tidyr package #### Prerequisites: Either [Learn to Program: R](https://intersect.org.au/training/course/r101/) or [Learn to Program: R](https://intersect.org.au/training/course/r101/) and [R for Research](https://intersect.org.au/training/course/r110/) needed to attend this course. If you already have experience with programming, please check the topics covered in the [Learn to Program: R](https://intersect.org.au/training/course/r101/) and [R for Research](https://intersect.org.au/training/course/r110/) courses to ensure that you are familiar with the knowledge needed for this course. **For more information, please click [here](https://intersect.org.au/training/course/r201).** 2022-08-18 13:00:00 UTC 2022-08-18 16:00:00 UTC Intersect Australia Australia Australia Deakin training@intersect.org.au [] [] [] host_institution []
  • Getting Started with NVivo for Mac at UniSA Online

    18 August 2022

    Getting Started with NVivo for Mac at UniSA Online https://dresa.org.au/events/getting-started-with-nvivo-for-mac-at-unisa-online Does your research see you working through unstructured and non-numerical data? With the ability to collect, store and analyse different data types all in the one location makes, it's easy to see why NVivo is becoming the tool of choice for many researchers. NVivo allows researchers to simply organise and manage data from a variety of sources including surveys, interviews, articles, video, email, social media and web content, PDFs and images. Coding your data allows you to discover trends and compares themes as they emerge across different sources and data types. Using NVivo memos and visualisations combined with the ability to integrate with popular bibliographic tools you can get your research ready for publication sooner. #### You'll learn: - Create and organise a qualitative research project in NVivo - Import a range of data sources using NVivo's integrated tools - Code and classify your data - Format your data to take advantage of NVivo’s auto-coding ability - Use NVivo to discover new themes and trends in research - Visualise relationships and trends in your data #### Prerequisites: In order to participate, attendees must have a licensed copy of NVivo installed on their computer. Speak to your local university IT or Research Office for assistance in obtaining a license and installing the software. This course is taught using NVivo 12 Pro for Mac and is not suitable for NVivo for Windows users. **For more information, please click [here](https://intersect.org.au/training/course/nvivo102).** 2022-08-18 13:00:00 UTC 2022-08-18 16:00:00 UTC Intersect Australia Australia Australia UniSA training@intersect.org.au [] [] [] host_institution []
  • Getting started with NVivo for Windows at UNSW Online

    19 August 2022

    Getting started with NVivo for Windows at UNSW Online https://dresa.org.au/events/getting-started-with-nvivo-for-windows-at-unsw-online-83121132-19ff-4c1d-894d-2f0809f68b13 Does your research see you working through unstructured and non-numerical data? With the ability to collect, store and analyse different data types all in the one location makes, it's easy to see why NVivo is becoming the tool of choice for many researchers. NVivo allows researchers to simply organise and manage data from a variety of sources including surveys, interviews, articles, video, email, social media and web content, PDFs and images. Coding your data allows you to discover trends and compares themes as they emerge across different sources and data types. Using NVivo memos and visualisations combined with the ability to integrate with popular bibliographic tools you can get your research ready for publication sooner. #### You'll learn: - Create and organise a qualitative research project in NVivo - Import a range of data sources using NVivo's integrated tools - Code and classify your data - Format your data to take advantage of NVivo’s auto-coding ability - Use NVivo to discover new themes and trends in research - Visualise relationships and trends in your data #### Prerequisites: In order to participate, attendees must have a licensed copy of NVivo installed on their computer. Speak to your local university IT or Research Office for assistance in obtaining a license and installing the software. This course is taught using NVivo 12 Pro for Windows and is not suitable for NVivo for Mac users. **For more information, please click [here](https://intersect.org.au/training/course/nvivo101).** 2022-08-19 09:30:00 UTC 2022-08-19 12:30:00 UTC Intersect Australia Australia Australia UNSW training@intersect.org.au [] [] [] host_institution []
  • Data Visualisation in R at Deakin Online

    19 August 2022

    Data Visualisation in R at Deakin Online https://dresa.org.au/events/data-visualisation-in-r-at-deakin-online-a3e8f77b-8d72-496c-ba9e-1fcb54424419 R is quickly gaining popularity as a programming language for statisticians, data scientists and researchers. It has an excellent ecosystem including the powerful RStudio and the Shiny web application framework. In this workshop, you will explore different types of graphs and learn how to customise them using one of the most popular plotting packages in R, ggplot2 (Data Visualisation). We teach using RStudio, which allows program code, results, visualisations and documentation to be blended seamlessly. Join us for a live coding workshop where we write programs that produce results, using the researcher-focused training modules from Intersect and the highly regarded Software Carpentry Foundation. #### You'll learn: - Using the Grammar of Graphics to convert data into figures using the ggplot2 package - Configuring plot elements within ggplot2 - Exploring different types of plots using ggplot2 #### Prerequisites: Either [Learn to Program: R](https://intersect.org.au/training/course/r101/) or [Learn to Program: R](https://intersect.org.au/training/course/r101/) and [R for Research](https://intersect.org.au/training/course/r110/) needed to attend this course. If you already have experience with programming, please check the topics covered in the [Learn to Program: R](https://intersect.org.au/training/course/r101/) and [R for Research](https://intersect.org.au/training/course/r110/) courses to ensure that you are familiar with the knowledge needed for this course. We also strongly recommend attending the [Data Manipulation in R](https://intersect.org.au/training/course/r201/) course. **For more information, please click [here](https://intersect.org.au/training/course/r202).** 2022-08-19 13:00:00 UTC 2022-08-19 16:00:00 UTC Intersect Australia Australia Australia Deakin training@intersect.org.au [] [] [] host_institution []
  • Using Supercomputers: Parts 1 and 2

    22 - 23 August 2022

    Using Supercomputers: Parts 1 and 2 https://dresa.org.au/events/using-supercomputers-parts-1-and-2 In this course, students will be introduced to supercomputers and what makes them different to other computers. A typical supercomputing architecture, parallelism, compute resource sharing, command line interfaces and other key concepts and practices will be discussed. Students will practice what they learn using Pawsey's new supercomputer Setonix. 2022-08-22 10:00:00 UTC 2022-08-23 13:00:00 UTC Pawsey Supercomputing Research Centre Pawsey Supercomputing Research Centre training@pawsey.org.au [] [] workshopwebinar open_to_all supercomputingsupercomputersUnixSetonix
  • WORKSHOP: Single cell RNAseq analysis in R

    22 - 23 August 2022

    WORKSHOP: Single cell RNAseq analysis in R https://dresa.org.au/events/workshop-single-cell-rnaseq-analysis-in-r Analysis and interpretation of single cell RNAseq (scRNAseq) data requires dedicated workflows. In this hands-on workshop we will show you how to perform single cell analysis using[ Seurat](https://satijalab.org/seurat/index.html) - an R package for QC, analysis, and exploration of single-cell RNAseq data. We will discuss the ‘why’ behind each step and cover reading in the count data, quality control, filtering, normalisation, clustering, UMAP layout and identification of cluster markers. We will also explore various ways of visualising single cell expression data. **Lead trainers:** Dr Sarah Williams, Senior Bioinformatician, QCIF Mr Nick Matigan, Biostatistician and Bioinformatician, QCIF Dr Ahmed Mehdi, Senior Biostatistician, QCIF **Format** This online workshop will take place over two half-day sessions. You must attend both sessions. Expert trainers will guide you through each of the topics and provide activities to help you put your new skills into action. **Date/Time:** 22 and 23 August 2022, 1-5pm AEST/ ACST/AWST **Location:** Online **Learning outcomes:** By the end of the workshop you should be able to: 1. Load gene counts into a Seurat format 2. Perform QC and select cells for further analysis 3. Filter and normalise scRNAseq data 4. Cluster cells and identify cluster markers 5. Visualise scRNAseq expression data **Who the workshop is for:** This workshop is for Australian researchers who have or will work on scRNAseq data as part of their projects. You must be associated with an Australian organisation for your application to be considered. This workshop will not teach you the basics of R. While you don’t need to be an expert, you require some basic familiarity with R. For example you should be able to work with tables of data, know how to load an R package, make basic plots (ideally with ggplot2). You should also have basic knowledge of single cell RNA sequencing technology. **How to apply:** This workshop is free but participation is subject to application with selection. Applications will be reviewed by the organising committee and all applicants will be informed of the status of their application (successful, waiting list, unsuccessful). Successful applicants will be provided with a Zoom meeting link closer to the date. Applications close at **11:59pm AEDT, Wednesday 10 August 2022**. **[Apply here](https://biocommons-scrnaseq.eventbrite.com.au/)** _This workshop is presented by the[ Australian BioCommons](https://www.biocommons.org.au/) and[ Queensland Cyber Infrastructure Foundation (QCIF)](https://www.qcif.edu.au/) with the assistance of a network of facilitators from the national[ Bioinformatics Training Cooperative](https://www.biocommons.org.au/training-cooperative)._ _This event is part of a series of[ bioinformatics training events](https://www.biocommons.org.au/events). If you'd like to hear when registrations open for other events, please[ subscribe](https://www.biocommons.org.au/subscribe) to Australian BioCommons_ 2022-08-22 13:00:00 UTC 2022-08-23 17:00:00 UTC Australian BioCommons Australian Biocommons training@biocommons.org.au [] [] [] expression_of_interest Single Cell technologiesscRNAseqSeuratR software
  • Introduction to Programming: Plotting and Programming with Python

    23 - 26 August 2022

    Introduction to Programming: Plotting and Programming with Python https://dresa.org.au/events/introduction-to-programming-plotting-and-programming-with-python-19c02dfd-8e68-44ad-9719-cd01a24063cf This Software Carpentry workshop will introduce the building blocks of the Python scripting environment. Participants will start by exploring the command-line interface and basic programming concepts using Unix, before moving on to learn about simple and complex data types, conditionals and looping in Python. This workshop will prepare participants to carry out batch analysis and equip them with the knowledge to start creating automated pipelines to increase data processing power and productivity. 2022-08-23 09:00:00 UTC 2022-08-26 12:30:00 UTC QCIF QCIF training@qcif.edu.au [] [] workshop open_to_all []
  • Data Manipulation in R at ACU Online

    23 August 2022

    Data Manipulation in R at ACU Online https://dresa.org.au/events/data-manipulation-in-r-at-acu-online R is quickly gaining popularity as a programming language for statisticians, data scientists and researchers. It has an excellent ecosystem including the powerful RStudio and the Shiny web application framework. In this workshop, you will learn how to manipulate, explore and get insights from your data (Data Manipulation using the dplyr package), as well as how to convert your data from one format to another (Data Transformation using the tidyr package). We teach using RStudio, which allows program code, results, visualisations and documentation to be blended seamlessly. Join us for a live coding workshop where we write programs that produce results, using the researcher-focused training modules from Intersect and the highly regarded Software Carpentry Foundation. #### You'll learn: - DataFrame Manipulation using the dplyr package - DataFrame Transformation using the tidyr package #### Prerequisites: Either [Learn to Program: R](https://intersect.org.au/training/course/r101/) or [Learn to Program: R](https://intersect.org.au/training/course/r101/) and [R for Research](https://intersect.org.au/training/course/r110/) needed to attend this course. If you already have experience with programming, please check the topics covered in the [Learn to Program: R](https://intersect.org.au/training/course/r101/) and [R for Research](https://intersect.org.au/training/course/r110/) courses to ensure that you are familiar with the knowledge needed for this course. **For more information, please click [here](https://intersect.org.au/training/course/r201).** 2022-08-23 10:00:00 UTC 2022-08-23 13:00:00 UTC Intersect Australia Australia Australia ACU training@intersect.org.au [] [] [] host_institution []
  • Getting Started with NVivo for Mac at Deakin Online

    23 August 2022

    Getting Started with NVivo for Mac at Deakin Online https://dresa.org.au/events/getting-started-with-nvivo-for-mac-at-deakin-online Does your research see you working through unstructured and non-numerical data? With the ability to collect, store and analyse different data types all in the one location makes, it's easy to see why NVivo is becoming the tool of choice for many researchers. NVivo allows researchers to simply organise and manage data from a variety of sources including surveys, interviews, articles, video, email, social media and web content, PDFs and images. Coding your data allows you to discover trends and compares themes as they emerge across different sources and data types. Using NVivo memos and visualisations combined with the ability to integrate with popular bibliographic tools you can get your research ready for publication sooner. #### You'll learn: - Create and organise a qualitative research project in NVivo - Import a range of data sources using NVivo's integrated tools - Code and classify your data - Format your data to take advantage of NVivo’s auto-coding ability - Use NVivo to discover new themes and trends in research - Visualise relationships and trends in your data #### Prerequisites: In order to participate, attendees must have a licensed copy of NVivo installed on their computer. Speak to your local university IT or Research Office for assistance in obtaining a license and installing the software. This course is taught using NVivo 12 Pro for Mac and is not suitable for NVivo for Windows users. **For more information, please click [here](https://intersect.org.au/training/course/nvivo102).** 2022-08-23 13:00:00 UTC 2022-08-23 16:30:00 UTC Intersect Australia Australia Australia Deakin training@intersect.org.au [] [] [] host_institution []
  • Learn to Program: Python at UNSW Online

    23 - 24 August 2022

    Learn to Program: Python at UNSW Online https://dresa.org.au/events/learn-to-program-python-at-unsw-online-ef054e6e-4376-44bc-9b6a-b2a9ce5d9733 Python has deservedly become a popular language for scientific computing. It has all the friendly features and conveniences you'd expect of a modern programming language, and also a rich set of libraries for working with data. We teach using Jupyter notebooks, which allow program code, results, visualisations and documentation to be blended seamlessly. Perfect for sharing insights with others while producing reproducible research. Join us for this live coding workshop where we write programs that produce results, using the researcher-focused training modules from the highly regarded Software Carpentry Foundation. #### You'll learn: - Introduction to the JupyterLab interface for programming - Basic syntax and data types in Python - How to load external data into Python - Creating functions (FUNCTIONS) - Repeating actions and anylsing multiple data sets (LOOPS) - Making choices (IF STATEMENTS - CONDITIONALS) - Ways to visualise data in Python #### Prerequisites: No prior experience with programming needed to attend this course. We strongly recommend attending the Start Coding without Hesitation: Programming Languages Showdown and Thinking like a computer: The Fundamentals of Programming webinars. Recordings of previously delivered webinars can be found [here](https://intersect.org.au/training/webinars/). **For more information, please click [here](https://intersect.org.au/training/course/python101).** 2022-08-23 13:30:00 UTC 2022-08-24 12:30:00 UTC Intersect Australia Australia Australia UNSW training@intersect.org.au [] [] [] host_institution []
  • Data Visualisation in R at ACU Online

    24 August 2022

    Data Visualisation in R at ACU Online https://dresa.org.au/events/data-visualisation-in-r-at-acu-online R is quickly gaining popularity as a programming language for statisticians, data scientists and researchers. It has an excellent ecosystem including the powerful RStudio and the Shiny web application framework. In this workshop, you will explore different types of graphs and learn how to customise them using one of the most popular plotting packages in R, ggplot2 (Data Visualisation). We teach using RStudio, which allows program code, results, visualisations and documentation to be blended seamlessly. Join us for a live coding workshop where we write programs that produce results, using the researcher-focused training modules from Intersect and the highly regarded Software Carpentry Foundation. #### You'll learn: - Using the Grammar of Graphics to convert data into figures using the ggplot2 package - Configuring plot elements within ggplot2 - Exploring different types of plots using ggplot2 #### Prerequisites: Either [Learn to Program: R](https://intersect.org.au/training/course/r101/) or [Learn to Program: R](https://intersect.org.au/training/course/r101/) and [R for Research](https://intersect.org.au/training/course/r110/) needed to attend this course. If you already have experience with programming, please check the topics covered in the [Learn to Program: R](https://intersect.org.au/training/course/r101/) and [R for Research](https://intersect.org.au/training/course/r110/) courses to ensure that you are familiar with the knowledge needed for this course. We also strongly recommend attending the [Data Manipulation in R](https://intersect.org.au/training/course/r201/) course. **For more information, please click [here](https://intersect.org.au/training/course/r202).** 2022-08-24 10:00:00 UTC 2022-08-24 13:00:00 UTC Intersect Australia Australia Australia ACU training@intersect.org.au [] [] [] host_institution []
  • Data Capture and Surveys with REDCap at LTU Online

    24 August 2022

    Data Capture and Surveys with REDCap at LTU Online https://dresa.org.au/events/data-capture-and-surveys-with-redcap-at-ltu-online-55eba516-e50c-463a-b73a-12b9588f2113 Would you like to enable secure and reliable data collection forms and manage online surveys? Would your study benefit from web-based data entry? Research Electronic Data Capture (REDCap) might be for you. This course will introduce you to REDCap, a rapidly evolving web tool developed by researchers for researchers. REDCap features a high level of security, and a high degree of customisability for your forms and advanced user access control. It also features free, unlimited survey distribution functionality and a sophisticated export module with support for all standard statistical programs. #### You'll learn: - Get started with REDCap - Create and set up projects - Design forms and surveys using the online designer - Learn how to use branching logic, piping, and calculations - Enter data via forms and distribute surveys - Create, view and export data reports - Add collaborators and set their privileges #### Prerequisites: The course has no prerequisites. **For more information, please click [here](https://intersect.org.au/training/course/redcap101).** 2022-08-24 10:00:00 UTC 2022-08-24 13:00:00 UTC Intersect Australia Australia Australia LTU training@intersect.org.au [] [] [] host_institution []
  • WEBINAR: Getting started with whole genome mapping and variant calling on the command line

    24 August 2022

    WEBINAR: Getting started with whole genome mapping and variant calling on the command line https://dresa.org.au/events/webinar-getting-started-with-whole-genome-mapping-and-variant-calling-on-the-command-line Life scientists are increasingly using whole genome sequencing (WGS) to ask and answer research questions across the tree of life. Before any of this work can be done, there is the essential but challenging task of processing raw sequencing data. Processing WGS data is a computationally challenging, multi-step process used to create a map of an individual’s genome and identify genetic variant sites. The tools you use in this process and overall workflow design can look very different for different researchers, it all depends on your dataset and the research questions you’re asking. Luckily, there are lots of existing WGS processing tools and pipelines out there, but knowing where to start and what your specific needs are is hard work, no matter how experienced you are. In this webinar we will walk through the essential steps and considerations for researchers who are running and building reproducible WGS mapping and variant calling pipelines at the command line interface. We will discuss how to choose and evaluate a pipeline that is right for your dataset and research questions, and how to get access to the compute resources you need. **Who the webinar is for** This webinar is intended for life scientists who are using and building whole genome sequencing mapping and variant calling pipelines. Some familiarity with the concepts of whole genome sequencing is recommended. **Presenter:** Dr Georgina Samaha, Sydney Informatics Hub, University of Sydney **Date/time:** 24 August 2021 - 12:00-13:00 AEST / 11:30 - 12:30 ACST / 10:00-11:00 AWST **How to join:** This webinar is free to join but you must register for a place in advance. **[Register here] (https://unimelb.zoom.us/webinar/register/WN_ekHib2_2QYazaH06VFMPgQ)** 2022-08-24 12:00:00 UTC 2022-08-24 13:00:00 UTC Australian BioCommons Online, Australia Online Australia Australian Biocommons training@biocommons.org.au [] [] 500 webinar open_to_all BioinformaticsworkflowsWhole genome sequencingVariant callingSequence mapping
  • ARDC Digital Research Skills Summit 2022

    29 - 30 August 2022

    Sydney, Australia

    ARDC Digital Research Skills Summit 2022 https://dresa.org.au/events/ardc-digital-research-skills-summit-2022 The Summit is for anyone interested in driving the development of a national digitally skilled research workforce. 2022-08-29 10:00:00 UTC 2022-08-30 15:30:00 UTC Australian Research Data Commons 389 Pitt Street, Sydney, Australia 389 Pitt Street Sydney Australia 2000 Australian Research Data Commons (ARDC) Kathryn Unsworth (kathryn.unsworth@ardc.edu.au) [] [] 150 conference open_to_all Other
  • Data Reduction / Refactoring (with ADIOS)

    30 August 2022

    Data Reduction / Refactoring (with ADIOS) https://dresa.org.au/events/data-reduction-refactoring-with-adios This HYBRID event features Oak Ridge National Labs Specialists, who will be discussing data reduction/refactoring using ADIOS. New technologies allow data to be generated at unprecedented rates and scales in fields ranging from high energy physics and nuclear physics to radio astronomy and photon sciences. The resulting data streams are scientifically rich; however, it is becoming increasingly impractical to store them in their entirety. And, while great strides have been made in data reduction in fields such as digital media, scientific data presents unique challenges. New methods for reducing streaming and voluminous data sets while maintaining accurate representations of scientifically relevant derived quantities of interest (QoIs) are of critical and growing importance for today’s science. To tackle these goals, Dr. Scott Klasky, Dr. Norbert Podhorszki, and their group have worked closely with many large-scale applications and researchers to co-design critical software infrastructure for these communities. These research artifacts have been fully integrated into many of the largest simulations and experiments, and have increased the performance of these codes by over 10X. In this presentation, they discuss the research details on three major contributions: large-scale self-describing parallel I/O (ADIOS), in situ/streaming data (SST), and data reduction/refactoring (MGARD). 2022-08-30 09:30:00 UTC 2022-08-30 11:00:00 UTC Pawsey Supercomputing Research Centre CSIRO - Kensington, Australian Resources Research Centre (ARRC), 26 Dick Perry Avenue, Kensington, Australia CSIRO - Kensington, Australian Resources Research Centre (ARRC), 26 Dick Perry Avenue Kensington Australia 6151 Pawsey Supercomputing Research Centre training@pawsey.org.au [] [] webinar open_to_all Data analysisdata managementsupercomputerssupercomputingexascale
  • Linear Models 1: Linear regression, ANOVA, ANCOVA and repeated measures (a simple mixed model)

    30 August 2022

    Linear Models 1: Linear regression, ANOVA, ANCOVA and repeated measures (a simple mixed model) https://dresa.org.au/events/linear-models-1-linear-regression-anova-ancova-and-repeated-measures-a-simple-mixed-model **Linear Models 1: Linear regression, ANOVA, ANCOVA and repeated measures (a simple mixed model)** focuses on Practical Data Analysis by presenting Statistical Workflows applicable in any software for 4 of the most common univariate analyses: linear regression, ANOVA, ANCOVA, and repeated measures (a simple mixed model). All assuming a normal (gaussian) residual. These workflows can be easily extended to more complex models. The R code used to create output is also included. ​ This is one of 3 workshops for researchers interested in statistical methods such as linear regression, ANOVA, ANCOVA, mixed models, logistic/binary and count (Poisson) regression. Each one builds on the preceding workshops and together they show how all these analyses can be performed using the same easy to understand Generalised Linear Mixed Model (GLMM) framework and workflow. As well as how they can be used to analyse experimental designs such as Control vs Treatment, Randomised Control Trials (RCT’s), Before After Control Impact (BACI) analysis, repeated measures plus many more. There is also a 4th complementary workshop called Statistical Model Building which we recommend for those experienced with Linear Models or who have done at least the first 2 of our workshops. The material is organised around Statistical Workflows applicable in any software that give step by step instructions on how to do the analysis including assumption testing, model interpretation and presentation of results. **Attendance options:** You will get the most out of this session by attending in person. This way allows you to interact with the presenters, ask questions directly, and catch up after the session. Please only choose online if circumstances prevent you from attending campus. **In person @Camden:** Choose the "In person" ticket option. **Online:** Choose the "Online Zoom" ticket option. It is recommended to have a dual monitor setup to view and participate remotely in the session. Registered attendees will receive a link to the Zoom event closer to the date. Sydney Informatics Hub - Open to: Academic and Professional Staff, research students, and affiliates of The University of Sydney (with a valid UniKey) - Please use your **University of Sydney email address** to register i.e. **@sydney.edu.au, @uni.sydney.edu.au,** etc - If you do not have a UniKey, please contact us to confirm your position after registration. - Registrations from open web email clients (@gmail.com, @hotmail.com etc) will AUTOMATICALLY be cancelled, without us contacting you! 2022-08-30 09:30:00 UTC 2022-08-30 11:00:00 UTC Sydney Informatics Hub Sydney, Australia Sydney Australia University of Sydney sih.training@sydney.edu.au [] [] [] host_institution []
  • Learn to Program: Python at UOA Online

    30 - 31 August 2022

    Learn to Program: Python at UOA Online https://dresa.org.au/events/learn-to-program-python-at-uoa-online-61af5608-d5c7-4d4b-ba51-850c00f1abfc Python has deservedly become a popular language for scientific computing. It has all the friendly features and conveniences you'd expect of a modern programming language, and also a rich set of libraries for working with data. We teach using Jupyter notebooks, which allow program code, results, visualisations and documentation to be blended seamlessly. Perfect for sharing insights with others while producing reproducible research. Join us for this live coding workshop where we write programs that produce results, using the researcher-focused training modules from the highly regarded Software Carpentry Foundation. #### You'll learn: - Introduction to the JupyterLab interface for programming - Basic syntax and data types in Python - How to load external data into Python - Creating functions (FUNCTIONS) - Repeating actions and anylsing multiple data sets (LOOPS) - Making choices (IF STATEMENTS - CONDITIONALS) - Ways to visualise data in Python #### Prerequisites: No prior experience with programming needed to attend this course. We strongly recommend attending the Start Coding without Hesitation: Programming Languages Showdown and Thinking like a computer: The Fundamentals of Programming webinars. Recordings of previously delivered webinars can be found [here](https://intersect.org.au/training/webinars/). **For more information, please click [here](https://intersect.org.au/training/course/python101).** 2022-08-30 09:30:00 UTC 2022-08-31 12:30:00 UTC Intersect Australia Australia Australia UOA training@intersect.org.au [] [] [] host_institution []
  • Linear Models 2: Logistic and Poisson/count regression-an introduction to Generalised Linear Models (GLM)

    30 August 2022

    Linear Models 2: Logistic and Poisson/count regression-an introduction to Generalised Linear Models (GLM) https://dresa.org.au/events/linear-models-2-logistic-and-poisson-count-regression-an-introduction-to-generalised-linear-models-glm **Linear Models 2: Logistic and Poisson/count regression-an introduction to Generalised Linear Models (GLM)**, focuses on Practical data analysis by presenting statistical workflows applicable in any software for two of the more common GLMM’s: Logistic regression for binary data (using a Binomial distribution); and Poisson/count regression for count data (using a Poisson distribution). The GLM framework is also described in detail. The R code used to create output is also included. ​ This is the second of 3 workshops for researchers interested in statistical methods such as linear regression, ANOVA, ANCOVA, mixed models, logistic/binary and count (Poisson) regression. Each one builds on the preceding workshops and together they show how all these analyses can be performed using the same easy to understand Generalised Linear Mixed Model (GLMM) framework and workflow. As well as how they can be used to analyse experimental designs such as Control vs Treatment, Randomised Control Trials (RCT’s), Before After Control Impact (BACI) analysis, repeated measures plus many more. There is also a 4th complementary workshop called Statistical Model Building which we recommend for those experienced with Linear Models or who have done at least the first 2 of our workshops. The material is organised around statistical workflows applicable in any software that give step by step instructions on how to do the analysis including assumption testing, model interpretation and presentation of results. **Attendance options:** You will get the most out of this session by attending in person. This way allows you to interact with the presenters, ask questions directly, and catch up after the session. Please only choose online if circumstances prevent you from attending campus. **In person @Camden:** Choose the "In person" ticket option. **Online:** Choose the "Online Zoom" ticket option. It is recommended to have a dual monitor setup to view and participate remotely in the session. Registered attendees will receive a link to the Zoom event closer to the date. Sydney Informatics Hub - Open to: Academic and Professional Staff, research students, and affiliates of The University of Sydney (with a valid UniKey) - Please use your **University of Sydney email address** to register i.e. **@sydney.edu.au, @uni.sydney.edu.au,** etc - If you do not have a UniKey, please contact us to confirm your position after registration. - Registrations from open web email clients (@gmail.com, @hotmail.com etc) will AUTOMATICALLY be cancelled, without us contacting you! 2022-08-30 11:30:00 UTC 2022-08-30 13:00:00 UTC Sydney Informatics Hub Sydney, Australia Sydney Australia University of Sydney sih.training@sydney.edu.au [] [] [] host_institution []

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