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37 event found

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  • WORKSHOP: Hybrid de novo genome assembly

    7 October 2021

    WORKSHOP: Hybrid de novo genome assembly https://dresa.org.au/events/workshop-hybrid-de-novo-genome-assembly It’s now easier than ever to assemble new reference genomes thanks to hybrid genome assembly approaches which enable research on organisms for which reference genomes were not previously available. These approaches combine the strengths of short (Illumina) and long (PacBio or Nanopore) read technologies, resulting in improved assembly quality. In this workshop we will learn how to create and assess genome assemblies from Illumina and Nanopore reads using data from a _Bacillus Subtilis_ strain. We will demonstrate two hybrid-assembly methods using the tools [Flye](https://github.com/fenderglass/Flye), [Pilon](https://github.com/broadinstitute/pilon/wiki), and [Unicycler](https://journals.plos.org/ploscompbiol/article?id=10.1371/journal.pcbi.1005595) to perform assembly and subsequent error correction. You will learn how to visualise input read sets and the assemblies produced at each stage and assess the quality of the final assembly. All analyses will be performed using [Galaxy Australia](https://usegalaxy.org.au/), an online platform for biological research that allows people to use computational data analysis tools and workflows without the need for programming experience. **Date/time:** 2 - 5pm AEDT/ 1 - 4pm AEST/ 1:30 - 4:30pm ACDT/ 11am - 2pm AWST, Thursday 7 October 2021 **Lead Trainer:** Grace Hall, Melbourne Bioinformatics **Learning outcomes** By the end of this workshop you should be able to: 1. Describe how Nanopore and Illumina reads can be used together to produce a high quality assembly 2. Use genome assembly and polishing programs in Galaxy Australia 3. Assess the quality of a genome assembly with and without a reference genome 4. Assemble an unknown, previously undocumented genome to high-quality using Nanopore and Illumina reads The workshop will NOT provide an introduction to the basics of Galaxy. If you would like to learn about this topic there are several tutorials available via the [Galaxy Training Network](https://training.galaxyproject.org/training-material/). **Who the workshop is for** This workshop is for Australian researchers who are or will perform hybrid genome assembly as part of their projects. To get the most out of the workshops you must have experience with the basics of using Galaxy Australia such as setting up a history, uploading data and running tools. It is recommended that you complete the tutorial [Galaxy 101 for Everyone](https://training.galaxyproject.org/training-material/topics/introduction/tutorials/galaxy-intro-101-everyone/tutorial.html). No programming experience is required. **How to apply** This workshop is free but participation is subject to application with selection. **_Applications close at 11:59pm AEST Wednesday 29 September 2021._** You must be associated with an Australian organisation and provide an appropriate organisational email address for your application to be considered. Applications will be reviewed by the organising committee and all applicants will be informed of the status of their application (successful, waiting list, unsuccessful) by Friday 1 October 2021. Successful applicants will be provided with a Zoom meeting link closer to the date. **Applications have closed** This workshop is presented by the [Australian BioCommons](https://www.biocommons.org.au/) and [Melbourne Bioinformatics](https://www.melbournebioinformatics.org.au/) with the assistance of a network of facilitators from the national[ Bioinformatics Training Cooperative](https://www.biocommons.org.au/training-cooperative). To hear when registrations open for other events, please[ subscribe](https://www.biocommons.org.au/subscribe) to the Australian BioCommons’ eNewsletter. 2021-10-07 14:00:00 UTC 2021-10-07 17:00:00 UTC Australian BioCommons Online, Australia Online Australia Australian BioCommons Melissa Burke (melissa@biocommons.org.au) [] [] workshop expression_of_interest Genome assemblyde novo genome assemblyGalaxy Australia
  • Introduction to AMD GPUs Conduct #1

    26 - 27 October 2021

    Introduction to AMD GPUs Conduct #1 https://dresa.org.au/events/2021-10-26-27-introduction-to-amd-gpus-conduct-1 This is a 2-day, hands-on, online event: 26-27 October 2021, from 9.30am-12.30pm AWST. Join AMD Specialists to learn about AMD Instinct GPUs and ROCm toolchain, including HIP basics. The training focuses on both HPC and AI ML using containers from both AMD’s Github ROCM source repository and the New AMD Infinity Hub. Agenda: - Overview of MI100 (AMD Instinct Architecture and Introduction to ROCm) - Course Part 1 (2Hrs)m Setup and ROCm installation - System Setup and ROCm installation - Basic ROCm tools - TensorFlow installation and benchmarking - PyTorch installation and benchmarking - Multi-GPU scaling - Machine Learning models deployable and benchmarks - CUDA to HIP – Tools and Examples - Course Part 2 – HPC FOCUS - ROCm HPC and ML Docker Containers - HPC Job Scheduler and Monitoring - Math Libraries - Communication Libraries for Multi-GPU Scale-out - GPU Performance Profiling - HPC Benchmarks This training includes exercises / labs for those who want to experiment with the AMD Accelerator Cloud. Each student will have a dedicated MI100 GPU during the training. 2021-10-26 09:30:00 UTC 2021-10-27 12:30:00 UTC Pawsey Supercomputing Research Centre Pawsey Supercomputing Research Centre training@pawsey.org.au [] [] 20 workshop expression_of_interest supercomputingsupercomputerAMDGPUs
  • Introduction to AMD GPUs Conduct #2

    9 - 10 November 2021

    Introduction to AMD GPUs Conduct #2 https://dresa.org.au/events/2021-11-09-10-introduction-to-amd-gpus-conduct-2 This is a 2-day, hands-on, online event: 9-10 November 2021, from 9.30am-12.30pm AWST. Join AMD Specialists to learn about AMD Instinct GPUs and ROCm toolchain, including HIP basics. The training focuses on both HPC and AI ML using containers from both AMD’s Github ROCM source repository and the New AMD Infinity Hub. Agenda: - Overview of MI100 (AMD Instinct Architecture and Introduction to ROCm) - Course Part 1 (2Hrs)m Setup and ROCm installation - System Setup and ROCm installation - Basic ROCm tools - TensorFlow installation and benchmarking - PyTorch installation and benchmarking - Multi-GPU scaling - Machine Learning models deployable and benchmarks - CUDA to HIP – Tools and Examples - Course Part 2 – HPC FOCUS - ROCm HPC and ML Docker Containers - HPC Job Scheduler and Monitoring - Math Libraries - Communication Libraries for Multi-GPU Scale-out - GPU Performance Profiling - HPC Benchmarks This training includes exercises / labs for those who want to experiment with the AMD Accelerator Cloud. Each student will have a dedicated MI100 GPU during the training. 2021-11-09 09:30:00 UTC 2021-11-10 12:30:00 UTC Pawsey Supercomputing Research Centre Pawsey Supercomputing Research Centre training@pawsey.org.au [] [] 20 workshop expression_of_interest supercomputingsupercomputerAMDGPUs
  • WORKSHOP: Refining genome annotations with Apollo

    17 November 2021

    WORKSHOP: Refining genome annotations with Apollo https://dresa.org.au/events/workshop-refining-genome-annotations-with-apollo Genome annotation is crucial to defining the function of genomic sequences. This process typically involves a round of automated annotation followed by manual curation. Manual curation allows you to visualise your annotations so you can understand what your organism looks like, and then to manually refine these annotations along with any additional data you might have. This process is typically performed collaboratively as part of a team effort. Apollo is a popular tool for facilitating real-time collaborative, manual curation and genome annotation editing. In this workshop we will learn how to use Apollo to refine genome annotations using example data from an _E. coli_ strain. We’ll focus on the basics like getting data into Apollo, viewing evidence tracks, editing and adding structural and functional annotation, visualising the results and collaborating on genome annotations. This workshop will make use of a training instance of the new [Australian Apollo Service](https://apollo-portal.genome.edu.au/). This service enables Australian-based research groups and consortia to access Apollo and host genome assembly and supporting evidence files for free. This service has been made possible by The Australian BioCommons and partners at QCIF and Pawsey. To learn more about the Australian Apollo Service you can [join our webinar](https://www.biocommons.org.au/events/apollo-launch) on 29 September 2021. **Trainers** Dr Anthony Bretaudeau (French National Institute for Agriculture, Food, and Environment), Dr Helena Rasche (Erasmus Medical Center, The Netherlands), Dr Sarah Williams (QCIF), Dr Tiffanie Nelson (Australian BioCommons) **Date/Time** 3-6pm AEDT/ 2-5pm AEST/ 2:30-5:30pm ACDT / 12-3pm AWST, Wednesday 17 Nov 2021 **Learning outcomes** By the end of the workshop you should be able to: 1. Upload data to Apollo 2. Visualise your genome and associated automated annotations 3. Manually annotate genomes after automated annotations have been performed 4. Evaluate and visualise annotated genomic features 5. Use Apollo to collaborate on genome annotation This workshop is based on [training materials](https://training.galaxyproject.org/training-material//topics/genome-annotation/tutorials/apollo/tutorial.html) developed for the Galaxy Training Network and the [Apollo User Guide](https://genomearchitect.readthedocs.io/en/latest/UsersGuide.html#). **Who the workshop is for** This workshop is for Australian researchers who have or will work on genome annotation and manual curation/editing as part of their projects. You should be familiar with the concepts of genome annotation and have, or soon have, genome annotation files that require manual annotation and curation. You do not need access to a personal or institutional instance of Apollo for this workshop. Access to a training instance of the Australian Apollo Service will be provided. **How to apply** This workshop is free but participation is subject to application with selection. **_Applications close at 11:59pm AEDT, Thursday 4 November 2021_**. You must be associated with an Australian organisation and provide an appropriate organisational email address for your application to be considered. Applications will be reviewed by the organising committee and all applicants will be informed of the status of their application (successful, waiting list, unsuccessful) by Friday 12 November 2021. Successful applicants will be provided with a Zoom meeting link closer to the date. **[Apply here](https://apollo-2021.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 2021-11-17 15:00:00 UTC 2021-11-17 18:00:00 UTC Australian BioCommons Online, Australia Online Australia Australian BioCommons Melissa Burke melissa@biocommons.org.au [] [] workshop expression_of_interest Genome annotationBioinformaticsGenomics
  • WORKSHOP: Introduction to Metabarcoding using Qiime2

    22 February 2022

    WORKSHOP: Introduction to Metabarcoding using Qiime2 https://dresa.org.au/events/workshop-introduction-to-metabarcoding-using-qiime2 Metabarcoding has revolutionized the study of biodiversity science. By combining DNA taxonomy with high-throughput DNA sequencing, it offers the potential to observe a larger diversity in the taxa within a single sample, rapidly expanding the scope of microbial analysis and generating high-quality biodiversity data. This workshop will introduce the topic of metabarcoding and how you can use Qiime2 to analyse 16S data and gain simultaneous identification of all taxa within a sample. Qiime2 is a popular tool used to perform powerful microbiome analysis that can transform your raw data into publication quality visuals and statistics. In this workshop, using example 16S data from the shallow-water marine anemone _E. diaphana_, you will learn how to use this pipeline to run essential steps in microbial analysis including generating taxonomic assignments and phylogenic trees, and performing both alpha- and beta- diversity analysis. **Date/time:** 12 - 5pm AEDT/ 11 - 4pm AEST/ 11:30 - 4:30 ACDT/ 9am - 2pm AWST, Tuesday 22 February 2022 **Lead Trainers:** Dr Ashley Dungan (School of Bioscience, University of Melbourne) and Dr Gayle Philip (Melbourne Bioinformatics) **Learning outcomes** By the end of this workshop you should be able to: 1. Understand data and metadata formats required for Qiime2 2. Use Qiime2 to: 1. Create and interpret sequence quality data 2. Generate taxonomy reports/tables and phylogenic trees based on amplicon sequence variants 3. Compare Alpha and Beta data analysis 4. Develop publication quality graphics and statistics using 16S sequencing data 3. Assess the results to determine the influence of genotype (an intrinsic factor) and environment (an extrinsic factor) on anemone-associated bacterial communities **Who the workshop is for** This workshop is for researchers studying microbiomes as part of their projects. The workshop will be conducted in a Unix environment so basic command line knowledge (e.g. logging in to a remote machine, navigating the directory structure and copy files between the computers) is a prerequisite You should be familiar with the concepts of microbial analysis a however no previous experience with Qiime2 is required. **How to apply** This workshop is free but participation is subject to application with selection. You must be associated with an Australian organisation and provide an appropriate organisational email address for your application to be considered. Applications close 8 February 2022. Applications will be reviewed by the organising committee and all applicants will be informed of the status of their application Successful applicants will be provided with a Zoom meeting link closer to the date. **[Apply here](https://intro-qiime2.eventbrite.com.au/)** This workshop is presented by the[ Australian BioCommons](https://www.biocommons.org.au/) and[ Melbourne Bioinformatics](https://www.melbournebioinformatics.org.au/) with the assistance of a network of facilitators from the national[ Bioinformatics Training Cooperative](https://www.biocommons.org.au/training-cooperative). To hear when registrations open for other events, please[ subscribe](https://www.biocommons.org.au/subscribe) to the Australian BioCommons’ eNewsletter. 2022-02-22 12:00:00 UTC 2022-02-22 17:00:00 UTC Australian BioCommons Online, Australia Online Australia Australian BioCommons Melissa Burke (melissa@biocommons.org.au) [] [] 30 workshop expression_of_interest BioinformaticsMicrobiomeMetabarcodingMetagenomics
  • Data Manipulation and Visualisation in Python

    22 - 23 February 2022

    Data Manipulation and Visualisation in Python https://dresa.org.au/events/data-manipulation-and-visualisation-in-python-23bcb35f-f4a3-4b77-985b-2d815dbc2e08 Live coding workshop introducing data manipulation and visualisation using Python 2022-02-22 13:30:00 UTC 2022-02-23 12:30:00 UTC NCI NCIIntersect training.nci@anu.edu.au [] [] [] expression_of_interesthost_institution []
  • Getting started with HPC using PBS Pro

    28 February - 1 March 2022

    Getting started with HPC using PBS Pro https://dresa.org.au/events/getting-started-with-hpc-using-pbs-pro A hands-on introduction to running software on HPC infrastructure using PBS Pro 2022-02-28 13:30:00 UTC 2022-03-01 16:30:00 UTC NCI NCIIntersect training.nci@anu.edu.au [] [] [] expression_of_interesthost_institution []
  • Introduction to Machine Learning using Python: Introduction & Linear Regression

    3 - 4 March 2022

    Introduction to Machine Learning using Python: Introduction & Linear Regression https://dresa.org.au/events/introduction-to-machine-learning-using-python-introduction-linear-regression-137f9fb2-f033-4234-939d-990e92d1cee2 A live coding workshop explains the fundamentals of Machine Learning and provide a comprehensive introduction to Linear Regression and Model Training. 2022-03-03 13:30:00 UTC 2022-03-04 16:30:00 UTC NCI NCIIntersect training.nci@anu.edu.au [] [] [] expression_of_interesthost_institution []
  • Data Manipulation and Visualisation in R

    7 - 8 March 2022

    Data Manipulation and Visualisation in R https://dresa.org.au/events/data-manipulation-and-visualisation-in-r Live coding workshop introducing data manipulation and visualisation using R 2022-03-07 13:30:00 UTC 2022-03-08 16:30:00 UTC NCI NCIIntersect training.nci@anu.edu.au [] [] [] expression_of_interesthost_institution []
  • Developments with CVL@UWA (Characterisation Virtual Laboratory)

    10 March 2022

    Developments with CVL@UWA (Characterisation Virtual Laboratory) https://dresa.org.au/events/developments-with-cvl-uwa #####Dean Taylor (Senior Research Engineer, University of Western Australia) from the DevOps team (ACCS Project) talks about the progress with the release of a new node of the Characterisation Virtual Laboratory (CVL) at UWA. The CVL brings together LINUX tools with graphical user interfaces in the one platform on HPC (in this instance HPC@Pawsey) to allow researchers in the characterisation sciences to use the power of high-performance computing in a low code environment. In this session, Dean will take us through how he is deploying CVL@UWA and discuss how the roll-out will occur. Please note that these sessions are recorded for storing in our repository and sharing via platforms such as YouTube. If you would prefer, please turn off your camera and mute your microphone during the session. This ACCS session is by invitation. Please click the button below to email to request an invitation. Selected materials will be available to share after the event. 2022-03-10 12:00:00 UTC 2022-03-10 13:00:00 UTC ACCS Project Perth, Australia Perth Australia University of Western Australia Kathryn Hall (kathryn.hall@uq.edu.au) [] technical stafffacilities staffinfrastructure managersresearchercharacterisation scientists webinar expression_of_interestby_invitation Characterisation Virtual LaboratoryCVL@UWAPawseyACCS
  • Introduction to Machine Learning using Python: Classification

    10 - 11 March 2022

    Introduction to Machine Learning using Python: Classification https://dresa.org.au/events/introduction-to-machine-learning-using-python-classification Live coding workshop introducing the Classification models in ML using Python 2022-03-10 13:30:00 UTC 2022-03-11 16:30:00 UTC NCI NCIIntersect training.nci@anu.edu.au [] [] [] expression_of_interesthost_institution []
  • Introduction to Machine Learning using Python: SVM & Unsupervised Learning

    18 March 2022

    Introduction to Machine Learning using Python: SVM & Unsupervised Learning https://dresa.org.au/events/introduction-to-machine-learning-using-python-svm-unsupervised-learning Live coding workshop introducing the Support Vector Machine & Unsupervised models in ML using Python 2022-03-18 13:30:00 UTC 2022-03-18 16:30:00 UTC NCI NCIIntersect training.nci@anu.edu.au [] [] [] expression_of_interesthost_institution []
  • Parallel Programming for HPC

    29 March 2022

    Parallel Programming for HPC https://dresa.org.au/events/parallel-programming-for-hpc Move from writing single-threaded programs into the parallel programming paradigm. 2022-03-29 09:30:00 UTC 2022-03-29 12:30:00 UTC NCI NCIIntersect training.nci@anu.edu.au [] [] [] expression_of_interesthost_institution []
  • Parallel Programming for HPC

    29 March 2022

    Parallel Programming for HPC https://dresa.org.au/events/parallel-programming-for-hpc-06469a22-d9fa-4ac2-be38-7be40e9ee872 Move from writing single-threaded programs into the parallel programming paradigm. 2022-03-29 09:30:00 UTC 2022-03-29 12:30:00 UTC NCI NCIIntersect training.nci@anu.edu.au [] [] [] expression_of_interesthost_institution []
  • Learn to Program: Python (beginner)

    4 - 5 April 2022

    Learn to Program: Python (beginner) https://dresa.org.au/events/learn-to-program-python-beginner Learn about the fundamental concepts in programming using Python and apply them to analyse a sample research dataset. 2022-04-04 13:30:00 UTC 2022-04-05 16:30:00 UTC NCI NCIIntersect training.nci@anu.edu.au [] [] [] expression_of_interesthost_institution []
  • Data Manipulation and Visualisation in Python

    7 - 8 April 2022

    Data Manipulation and Visualisation in Python https://dresa.org.au/events/data-manipulation-and-visualisation-in-python Live coding workshop introducing data manipulation and visualisation using Python 2022-04-07 13:30:00 UTC 2022-04-08 16:30:00 UTC NCI NCIIntersect training.nci@anu.edu.au [] [] [] expression_of_interesthost_institution []
  • Introduction to Machine Learning using Python: Introduction & Linear Regression

    11 - 12 April 2022

    Introduction to Machine Learning using Python: Introduction & Linear Regression https://dresa.org.au/events/introduction-to-machine-learning-using-python-introduction-linear-regression Live coding workshop introducing the fundamentals of ML & provide a comprehensive introduction to Linear Regression and Model Training 2022-04-11 13:30:00 UTC 2022-04-12 16:30:00 UTC NCI NCIIntersect training.nci@anu.edu.au [] [] [] expression_of_interesthost_institution []
  • Introduction to Machine Learning using Python: Classification

    25 - 26 April 2022

    Introduction to Machine Learning using Python: Classification https://dresa.org.au/events/introduction-to-machine-learning-using-python-classification-b3b16387-14ee-4feb-b7af-19d3f103dee9 Live coding workshop introducing the Classification models in ML using Python 2022-04-25 13:30:00 UTC 2022-04-26 16:30:00 UTC NCI NCIIntersect training.nci@anu.edu.au [] [] [] expression_of_interesthost_institution []
  • Beyond the Basics: Julia

    29 April 2022

    Beyond the Basics: Julia https://dresa.org.au/events/beyond-the-basics-julia Explore the more advanced features of functions, widely used tools, and benchmarking in Julia 2022-04-29 09:30:00 UTC 2022-04-29 12:30:00 UTC NCI NCIIntersect training.nci@anu.edu.au [] [] [] expression_of_interesthost_institution []
  • Beyond the Basics: Julia

    29 April 2022

    Beyond the Basics: Julia https://dresa.org.au/events/beyond-the-basics-julia-e680fcf2-9480-4e52-ae54-319baf6a1b16 Explore the more advanced features of functions, widely used tools, and benchmarking in Julia 2022-04-29 09:30:00 UTC 2022-04-29 12:30:00 UTC NCI NCIIntersect training.nci@anu.edu.au [] [] [] expression_of_interesthost_institution []
  • Introduction to Machine Learning using Python: SVM & Unsupervised Learning

    3 May 2022

    Introduction to Machine Learning using Python: SVM & Unsupervised Learning https://dresa.org.au/events/introduction-to-machine-learning-using-python-svm-unsupervised-learning-28537696-8775-41b9-bc3a-1d86005d2366 Live coding workshop introducing the Support Vector Machine & Unsupervised models in ML using Python 2022-05-03 13:30:00 UTC 2022-05-03 16:30:00 UTC NCI NCIIntersect training.nci@anu.edu.au [] [] [] expression_of_interesthost_institution []
  • Introduction to Machine Learning using Python: SVM & Unsupervised Learning

    3 May 2022

    Introduction to Machine Learning using Python: SVM & Unsupervised Learning https://dresa.org.au/events/introduction-to-machine-learning-using-python-svm-unsupervised-learning-df1dc7a8-8943-4625-93fd-f91d6a9b5102 Live coding workshop introducing the Support Vector Machine & Unsupervised models in ML using Python 2022-05-03 13:30:00 UTC 2022-05-03 16:30:00 UTC NCI NCIIntersect training.nci@anu.edu.au [] [] [] expression_of_interesthost_institution []
  • Data Manipulation and Visualisation in R at NCI Online

    10 - 11 May 2022

    Data Manipulation and Visualisation in R at NCI Online https://dresa.org.au/events/data-manipulation-and-visualisation-in-r-at-nci-online Learn about Data Manipulation, Data Transformation and Data Visualisation in R using the dplyr, tidyr and ggplot2 packages. 2022-05-10 13:30:00 UTC 2022-05-11 16:30:00 UTC NCI NCIIntersect training.nci@anu.edu.au [] [] [] expression_of_interesthost_institution []
  • Introduction to Machine Learning using Python: Introduction & Linear Regression

    16 - 17 May 2022

    Introduction to Machine Learning using Python: Introduction & Linear Regression https://dresa.org.au/events/introduction-to-machine-learning-using-python-introduction-linear-regression-a4c3a4b7-1f1b-475d-9dd6-0cff71878e8a A live coding workshop explains the fundamentals of Machine Learning and provide a comprehensive introduction to Linear Regression and Model Training. 2022-05-16 13:30:00 UTC 2022-05-17 16:30:00 UTC NCI NCIIntersect training.nci@anu.edu.au [] [] [] expression_of_interesthost_institution []
  • NCI CUDA Python GPU Bootcamp

    18 - 19 May 2022

    NCI CUDA Python GPU Bootcamp https://dresa.org.au/events/nci-cuda-python-gpu-bootcamp This Bootcamp will cover an introduction to GPU programming using CuPY, Numba and CUDA Python and provide hands-on opportunities to learn how to analyze GPU-enabled applications. 2022-05-18 13:00:00 UTC 2022-05-19 16:00:00 UTC NCI NCINVIDIA training.nci@anu.edu.au [] [] [] expression_of_interesthost_institution []
  • Introduction to Machine Learning using R: Classification

    23 - 24 May 2022

    Introduction to Machine Learning using R: Classification https://dresa.org.au/events/introduction-to-machine-learning-using-r-classification Live coding workshop introducing the Classification models in ML using R 2022-05-23 13:30:00 UTC 2022-05-24 16:30:00 UTC NCI NCIIntersect training.nci@anu.edu.au [] [] [] expression_of_interesthost_institution []
  • Introduction to Machine Learning using R: SVM & Unsupervised Learning

    31 May 2022

    Introduction to Machine Learning using R: SVM & Unsupervised Learning https://dresa.org.au/events/introduction-to-machine-learning-using-r-svm-unsupervised-learning Live coding workshop introducing the Support Vector Machine & Unsupervised models in ML using R 2022-05-31 13:30:00 UTC 2022-05-31 16:30:00 UTC NCI NCIIntersect training.nci@anu.edu.au [] [] [] expression_of_interesthost_institution []
  • WORKSHOP: R - fundamental skills for biologists

    1 - 22 June 2022

    WORKSHOP: R - fundamental skills for biologists https://dresa.org.au/events/workshop-r-fundamental-skills-for-biologists Biologists need data analysis skills to be able to interpret, visualise and communicate their research results. While Excel can cover some data analysis needs, there is a better choice, particularly for large and complex datasets. R is a free, open-source software and programming language that enables data exploration, statistical analysis, visualisation and more. The large variety of R packages available for analysing biological data make it a robust and flexible option for data of all shapes and sizes. Getting started can be a little daunting for those without a background in statistics and programming. In this workshop we will equip you with the foundations for getting the most out of R and RStudio, an interactive way of structuring and keeping track of your work in R. Using biological data from a model of influenza infection, you will learn how to efficiently and reproducibly organise, read, wrangle, analyse, visualise and generate reports from your data in R. Topics covered in this workshop include: 1. Spreadsheets, organising data and first steps with R 2. Manipulating and analysing data with dplyr and joining tables 3. Data visualisation 4. Summarized experiments and getting started with Bioconductor **Lead Trainer:** Dr Saskia Freytag (Laboratory Head, Personalised Oncology Division, WEHI) **Format** This online workshop will take place over a series of three-hour sessions. You must attend all four sessions in order to get the most out of the workshop. Expert trainers will guide you through each of the topics and provide activities and take home exercises to help you put your new skills into action. Support will be provided via Slack between sessions. **Date/time:** 1, 8, 15, and 22 June 2022: 2 - 5pm AEST/ 1:30-4:30pm ACST/ 12-3pm AWST 1 June 2022: Spreadsheets, organising data and first steps with R 8 June 2022: Manipulating and analysing data with dplyr and joining tables 15 June 2022: Data visualisation 22 June 2022: Summarized experiments and getting started with Bioconductor Participants must attend all four sessions **Learning outcomes** By the end of the workshop you should be able to: 1. Organise your data for effective use 2. Use RStudio to structure your work in R and run R packages 3. Make use of objects, vectors and functions in R 4. Load, inspect and manipulate data in R 5. Use dplyr and tidyr and packages to manipulate and reshape data 6. Produce and customise scatter plots, box plots, line plots, etc. using ggplot 7. Combine data spread across multiple tables 8. Use the SummarizedExperiment package to store and handle omics data 9. Have some familiarity with Bioconductor 10. Identify sources of help and support from the R community **Who the workshop is for** This workshop is for Australian life science researchers who are using, or intend to use, R to analyse their data. This workshop is suitable for absolute beginners or those who wish to go back to basics to ensure they are using R and RStudio effectively. No prior knowledge of R is required. **How to apply** This workshop is free but participation is subject to application with selection. Applications close at **11:59pm AEST Wednesday 11 May 2022**. You must be associated with an Australian organisation and provide an appropriate organisational email address for your application to be considered. 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. **[Apply here](https://r-fundamentals.eventbrite.com.au/)** 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. 2022-06-01 12:00:00 UTC 2022-06-22 17:00:00 UTC Australian BioCommons Australian BioCommons Melissa Burke (melissa@biocommons.org.au) [] Life scientists 50 workshop expression_of_interest RRStudioBioinformaticsLife scienceData analysisData visualisation
  • 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 []
  • Acacia Object Storage Service Workshop

    12 August 2022

    Kensington, Australia

    Acacia Object Storage Service Workshop https://dresa.org.au/events/acacia-object-storage-service-workshop This hands-on, interactive workshop introduces the Acacia object store now being used at Pawsey, and discusses how to use it from Setonix and from your computer. This workshop introduces object storage in contrast to filesystems, including the use of access IDs and secret keys. It shows how to use S3 tools to interact with Acacia, specifically MinIO and RClone. Best practices for objects and buckets are discussed, as are guidelines and recommendations. The session includes significant time to work through self-paced tutorials, such as moving data among Pawsey's supercomputer/s and Acacia, setting up buckets, creating objects, etc. 2022-08-12 09:30:00 UTC 2022-08-12 15:00:00 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 [] [] 16 workshop open_to_allexpression_of_interest supercomputingsupercomputersobject storageAcaciadata managementdata storageproject data
  • WORKSHOP: Hybrid de novo genome assembly

    7 October 2021

    WORKSHOP: Hybrid de novo genome assembly https://dresa.org.au/events/workshop-hybrid-de-novo-genome-assembly It’s now easier than ever to assemble new reference genomes thanks to hybrid genome assembly approaches which enable research on organisms for which reference genomes were not previously available. These approaches combine the strengths of short (Illumina) and long (PacBio or Nanopore) read technologies, resulting in improved assembly quality. In this workshop we will learn how to create and assess genome assemblies from Illumina and Nanopore reads using data from a _Bacillus Subtilis_ strain. We will demonstrate two hybrid-assembly methods using the tools [Flye](https://github.com/fenderglass/Flye), [Pilon](https://github.com/broadinstitute/pilon/wiki), and [Unicycler](https://journals.plos.org/ploscompbiol/article?id=10.1371/journal.pcbi.1005595) to perform assembly and subsequent error correction. You will learn how to visualise input read sets and the assemblies produced at each stage and assess the quality of the final assembly. All analyses will be performed using [Galaxy Australia](https://usegalaxy.org.au/), an online platform for biological research that allows people to use computational data analysis tools and workflows without the need for programming experience. **Date/time:** 2 - 5pm AEDT/ 1 - 4pm AEST/ 1:30 - 4:30pm ACDT/ 11am - 2pm AWST, Thursday 7 October 2021 **Lead Trainer:** Grace Hall, Melbourne Bioinformatics **Learning outcomes** By the end of this workshop you should be able to: 1. Describe how Nanopore and Illumina reads can be used together to produce a high quality assembly 2. Use genome assembly and polishing programs in Galaxy Australia 3. Assess the quality of a genome assembly with and without a reference genome 4. Assemble an unknown, previously undocumented genome to high-quality using Nanopore and Illumina reads The workshop will NOT provide an introduction to the basics of Galaxy. If you would like to learn about this topic there are several tutorials available via the [Galaxy Training Network](https://training.galaxyproject.org/training-material/). **Who the workshop is for** This workshop is for Australian researchers who are or will perform hybrid genome assembly as part of their projects. To get the most out of the workshops you must have experience with the basics of using Galaxy Australia such as setting up a history, uploading data and running tools. It is recommended that you complete the tutorial [Galaxy 101 for Everyone](https://training.galaxyproject.org/training-material/topics/introduction/tutorials/galaxy-intro-101-everyone/tutorial.html). No programming experience is required. **How to apply** This workshop is free but participation is subject to application with selection. **_Applications close at 11:59pm AEST Wednesday 29 September 2021._** You must be associated with an Australian organisation and provide an appropriate organisational email address for your application to be considered. Applications will be reviewed by the organising committee and all applicants will be informed of the status of their application (successful, waiting list, unsuccessful) by Friday 1 October 2021. Successful applicants will be provided with a Zoom meeting link closer to the date. **Applications have closed** This workshop is presented by the [Australian BioCommons](https://www.biocommons.org.au/) and [Melbourne Bioinformatics](https://www.melbournebioinformatics.org.au/) with the assistance of a network of facilitators from the national[ Bioinformatics Training Cooperative](https://www.biocommons.org.au/training-cooperative). To hear when registrations open for other events, please[ subscribe](https://www.biocommons.org.au/subscribe) to the Australian BioCommons’ eNewsletter. 2021-10-07 14:00:00 UTC 2021-10-07 17:00:00 UTC Australian BioCommons Online, Australia Online Australia Australian BioCommons Melissa Burke (melissa@biocommons.org.au) [] [] workshop expression_of_interest Genome assemblyde novo genome assemblyGalaxy Australia
  • Introduction to AMD GPUs Conduct #1

    26 - 27 October 2021

    Introduction to AMD GPUs Conduct #1 https://dresa.org.au/events/2021-10-26-27-introduction-to-amd-gpus-conduct-1 This is a 2-day, hands-on, online event: 26-27 October 2021, from 9.30am-12.30pm AWST. Join AMD Specialists to learn about AMD Instinct GPUs and ROCm toolchain, including HIP basics. The training focuses on both HPC and AI ML using containers from both AMD’s Github ROCM source repository and the New AMD Infinity Hub. Agenda: - Overview of MI100 (AMD Instinct Architecture and Introduction to ROCm) - Course Part 1 (2Hrs)m Setup and ROCm installation - System Setup and ROCm installation - Basic ROCm tools - TensorFlow installation and benchmarking - PyTorch installation and benchmarking - Multi-GPU scaling - Machine Learning models deployable and benchmarks - CUDA to HIP – Tools and Examples - Course Part 2 – HPC FOCUS - ROCm HPC and ML Docker Containers - HPC Job Scheduler and Monitoring - Math Libraries - Communication Libraries for Multi-GPU Scale-out - GPU Performance Profiling - HPC Benchmarks This training includes exercises / labs for those who want to experiment with the AMD Accelerator Cloud. Each student will have a dedicated MI100 GPU during the training. 2021-10-26 09:30:00 UTC 2021-10-27 12:30:00 UTC Pawsey Supercomputing Research Centre Pawsey Supercomputing Research Centre training@pawsey.org.au [] [] 20 workshop expression_of_interest supercomputingsupercomputerAMDGPUs
  • Introduction to AMD GPUs Conduct #2

    9 - 10 November 2021

    Introduction to AMD GPUs Conduct #2 https://dresa.org.au/events/2021-11-09-10-introduction-to-amd-gpus-conduct-2 This is a 2-day, hands-on, online event: 9-10 November 2021, from 9.30am-12.30pm AWST. Join AMD Specialists to learn about AMD Instinct GPUs and ROCm toolchain, including HIP basics. The training focuses on both HPC and AI ML using containers from both AMD’s Github ROCM source repository and the New AMD Infinity Hub. Agenda: - Overview of MI100 (AMD Instinct Architecture and Introduction to ROCm) - Course Part 1 (2Hrs)m Setup and ROCm installation - System Setup and ROCm installation - Basic ROCm tools - TensorFlow installation and benchmarking - PyTorch installation and benchmarking - Multi-GPU scaling - Machine Learning models deployable and benchmarks - CUDA to HIP – Tools and Examples - Course Part 2 – HPC FOCUS - ROCm HPC and ML Docker Containers - HPC Job Scheduler and Monitoring - Math Libraries - Communication Libraries for Multi-GPU Scale-out - GPU Performance Profiling - HPC Benchmarks This training includes exercises / labs for those who want to experiment with the AMD Accelerator Cloud. Each student will have a dedicated MI100 GPU during the training. 2021-11-09 09:30:00 UTC 2021-11-10 12:30:00 UTC Pawsey Supercomputing Research Centre Pawsey Supercomputing Research Centre training@pawsey.org.au [] [] 20 workshop expression_of_interest supercomputingsupercomputerAMDGPUs
  • WORKSHOP: Refining genome annotations with Apollo

    17 November 2021

    WORKSHOP: Refining genome annotations with Apollo https://dresa.org.au/events/workshop-refining-genome-annotations-with-apollo Genome annotation is crucial to defining the function of genomic sequences. This process typically involves a round of automated annotation followed by manual curation. Manual curation allows you to visualise your annotations so you can understand what your organism looks like, and then to manually refine these annotations along with any additional data you might have. This process is typically performed collaboratively as part of a team effort. Apollo is a popular tool for facilitating real-time collaborative, manual curation and genome annotation editing. In this workshop we will learn how to use Apollo to refine genome annotations using example data from an _E. coli_ strain. We’ll focus on the basics like getting data into Apollo, viewing evidence tracks, editing and adding structural and functional annotation, visualising the results and collaborating on genome annotations. This workshop will make use of a training instance of the new [Australian Apollo Service](https://apollo-portal.genome.edu.au/). This service enables Australian-based research groups and consortia to access Apollo and host genome assembly and supporting evidence files for free. This service has been made possible by The Australian BioCommons and partners at QCIF and Pawsey. To learn more about the Australian Apollo Service you can [join our webinar](https://www.biocommons.org.au/events/apollo-launch) on 29 September 2021. **Trainers** Dr Anthony Bretaudeau (French National Institute for Agriculture, Food, and Environment), Dr Helena Rasche (Erasmus Medical Center, The Netherlands), Dr Sarah Williams (QCIF), Dr Tiffanie Nelson (Australian BioCommons) **Date/Time** 3-6pm AEDT/ 2-5pm AEST/ 2:30-5:30pm ACDT / 12-3pm AWST, Wednesday 17 Nov 2021 **Learning outcomes** By the end of the workshop you should be able to: 1. Upload data to Apollo 2. Visualise your genome and associated automated annotations 3. Manually annotate genomes after automated annotations have been performed 4. Evaluate and visualise annotated genomic features 5. Use Apollo to collaborate on genome annotation This workshop is based on [training materials](https://training.galaxyproject.org/training-material//topics/genome-annotation/tutorials/apollo/tutorial.html) developed for the Galaxy Training Network and the [Apollo User Guide](https://genomearchitect.readthedocs.io/en/latest/UsersGuide.html#). **Who the workshop is for** This workshop is for Australian researchers who have or will work on genome annotation and manual curation/editing as part of their projects. You should be familiar with the concepts of genome annotation and have, or soon have, genome annotation files that require manual annotation and curation. You do not need access to a personal or institutional instance of Apollo for this workshop. Access to a training instance of the Australian Apollo Service will be provided. **How to apply** This workshop is free but participation is subject to application with selection. **_Applications close at 11:59pm AEDT, Thursday 4 November 2021_**. You must be associated with an Australian organisation and provide an appropriate organisational email address for your application to be considered. Applications will be reviewed by the organising committee and all applicants will be informed of the status of their application (successful, waiting list, unsuccessful) by Friday 12 November 2021. Successful applicants will be provided with a Zoom meeting link closer to the date. **[Apply here](https://apollo-2021.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 2021-11-17 15:00:00 UTC 2021-11-17 18:00:00 UTC Australian BioCommons Online, Australia Online Australia Australian BioCommons Melissa Burke melissa@biocommons.org.au [] [] workshop expression_of_interest Genome annotationBioinformaticsGenomics
  • WORKSHOP: Introduction to Metabarcoding using Qiime2

    22 February 2022

    WORKSHOP: Introduction to Metabarcoding using Qiime2 https://dresa.org.au/events/workshop-introduction-to-metabarcoding-using-qiime2 Metabarcoding has revolutionized the study of biodiversity science. By combining DNA taxonomy with high-throughput DNA sequencing, it offers the potential to observe a larger diversity in the taxa within a single sample, rapidly expanding the scope of microbial analysis and generating high-quality biodiversity data. This workshop will introduce the topic of metabarcoding and how you can use Qiime2 to analyse 16S data and gain simultaneous identification of all taxa within a sample. Qiime2 is a popular tool used to perform powerful microbiome analysis that can transform your raw data into publication quality visuals and statistics. In this workshop, using example 16S data from the shallow-water marine anemone _E. diaphana_, you will learn how to use this pipeline to run essential steps in microbial analysis including generating taxonomic assignments and phylogenic trees, and performing both alpha- and beta- diversity analysis. **Date/time:** 12 - 5pm AEDT/ 11 - 4pm AEST/ 11:30 - 4:30 ACDT/ 9am - 2pm AWST, Tuesday 22 February 2022 **Lead Trainers:** Dr Ashley Dungan (School of Bioscience, University of Melbourne) and Dr Gayle Philip (Melbourne Bioinformatics) **Learning outcomes** By the end of this workshop you should be able to: 1. Understand data and metadata formats required for Qiime2 2. Use Qiime2 to: 1. Create and interpret sequence quality data 2. Generate taxonomy reports/tables and phylogenic trees based on amplicon sequence variants 3. Compare Alpha and Beta data analysis 4. Develop publication quality graphics and statistics using 16S sequencing data 3. Assess the results to determine the influence of genotype (an intrinsic factor) and environment (an extrinsic factor) on anemone-associated bacterial communities **Who the workshop is for** This workshop is for researchers studying microbiomes as part of their projects. The workshop will be conducted in a Unix environment so basic command line knowledge (e.g. logging in to a remote machine, navigating the directory structure and copy files between the computers) is a prerequisite You should be familiar with the concepts of microbial analysis a however no previous experience with Qiime2 is required. **How to apply** This workshop is free but participation is subject to application with selection. You must be associated with an Australian organisation and provide an appropriate organisational email address for your application to be considered. Applications close 8 February 2022. Applications will be reviewed by the organising committee and all applicants will be informed of the status of their application Successful applicants will be provided with a Zoom meeting link closer to the date. **[Apply here](https://intro-qiime2.eventbrite.com.au/)** This workshop is presented by the[ Australian BioCommons](https://www.biocommons.org.au/) and[ Melbourne Bioinformatics](https://www.melbournebioinformatics.org.au/) with the assistance of a network of facilitators from the national[ Bioinformatics Training Cooperative](https://www.biocommons.org.au/training-cooperative). To hear when registrations open for other events, please[ subscribe](https://www.biocommons.org.au/subscribe) to the Australian BioCommons’ eNewsletter. 2022-02-22 12:00:00 UTC 2022-02-22 17:00:00 UTC Australian BioCommons Online, Australia Online Australia Australian BioCommons Melissa Burke (melissa@biocommons.org.au) [] [] 30 workshop expression_of_interest BioinformaticsMicrobiomeMetabarcodingMetagenomics
  • Data Manipulation and Visualisation in Python

    22 - 23 February 2022

    Data Manipulation and Visualisation in Python https://dresa.org.au/events/data-manipulation-and-visualisation-in-python-23bcb35f-f4a3-4b77-985b-2d815dbc2e08 Live coding workshop introducing data manipulation and visualisation using Python 2022-02-22 13:30:00 UTC 2022-02-23 12:30:00 UTC NCI NCIIntersect training.nci@anu.edu.au [] [] [] expression_of_interesthost_institution []
  • Getting started with HPC using PBS Pro

    28 February - 1 March 2022

    Getting started with HPC using PBS Pro https://dresa.org.au/events/getting-started-with-hpc-using-pbs-pro A hands-on introduction to running software on HPC infrastructure using PBS Pro 2022-02-28 13:30:00 UTC 2022-03-01 16:30:00 UTC NCI NCIIntersect training.nci@anu.edu.au [] [] [] expression_of_interesthost_institution []
  • Introduction to Machine Learning using Python: Introduction & Linear Regression

    3 - 4 March 2022

    Introduction to Machine Learning using Python: Introduction & Linear Regression https://dresa.org.au/events/introduction-to-machine-learning-using-python-introduction-linear-regression-137f9fb2-f033-4234-939d-990e92d1cee2 A live coding workshop explains the fundamentals of Machine Learning and provide a comprehensive introduction to Linear Regression and Model Training. 2022-03-03 13:30:00 UTC 2022-03-04 16:30:00 UTC NCI NCIIntersect training.nci@anu.edu.au [] [] [] expression_of_interesthost_institution []
  • Data Manipulation and Visualisation in R

    7 - 8 March 2022

    Data Manipulation and Visualisation in R https://dresa.org.au/events/data-manipulation-and-visualisation-in-r Live coding workshop introducing data manipulation and visualisation using R 2022-03-07 13:30:00 UTC 2022-03-08 16:30:00 UTC NCI NCIIntersect training.nci@anu.edu.au [] [] [] expression_of_interesthost_institution []
  • Developments with CVL@UWA (Characterisation Virtual Laboratory)

    10 March 2022

    Developments with CVL@UWA (Characterisation Virtual Laboratory) https://dresa.org.au/events/developments-with-cvl-uwa #####Dean Taylor (Senior Research Engineer, University of Western Australia) from the DevOps team (ACCS Project) talks about the progress with the release of a new node of the Characterisation Virtual Laboratory (CVL) at UWA. The CVL brings together LINUX tools with graphical user interfaces in the one platform on HPC (in this instance HPC@Pawsey) to allow researchers in the characterisation sciences to use the power of high-performance computing in a low code environment. In this session, Dean will take us through how he is deploying CVL@UWA and discuss how the roll-out will occur. Please note that these sessions are recorded for storing in our repository and sharing via platforms such as YouTube. If you would prefer, please turn off your camera and mute your microphone during the session. This ACCS session is by invitation. Please click the button below to email to request an invitation. Selected materials will be available to share after the event. 2022-03-10 12:00:00 UTC 2022-03-10 13:00:00 UTC ACCS Project Perth, Australia Perth Australia University of Western Australia Kathryn Hall (kathryn.hall@uq.edu.au) [] technical stafffacilities staffinfrastructure managersresearchercharacterisation scientists webinar expression_of_interestby_invitation Characterisation Virtual LaboratoryCVL@UWAPawseyACCS
  • Introduction to Machine Learning using Python: Classification

    10 - 11 March 2022

    Introduction to Machine Learning using Python: Classification https://dresa.org.au/events/introduction-to-machine-learning-using-python-classification Live coding workshop introducing the Classification models in ML using Python 2022-03-10 13:30:00 UTC 2022-03-11 16:30:00 UTC NCI NCIIntersect training.nci@anu.edu.au [] [] [] expression_of_interesthost_institution []
  • Introduction to Machine Learning using Python: SVM & Unsupervised Learning

    18 March 2022

    Introduction to Machine Learning using Python: SVM & Unsupervised Learning https://dresa.org.au/events/introduction-to-machine-learning-using-python-svm-unsupervised-learning Live coding workshop introducing the Support Vector Machine & Unsupervised models in ML using Python 2022-03-18 13:30:00 UTC 2022-03-18 16:30:00 UTC NCI NCIIntersect training.nci@anu.edu.au [] [] [] expression_of_interesthost_institution []
  • Parallel Programming for HPC

    29 March 2022

    Parallel Programming for HPC https://dresa.org.au/events/parallel-programming-for-hpc Move from writing single-threaded programs into the parallel programming paradigm. 2022-03-29 09:30:00 UTC 2022-03-29 12:30:00 UTC NCI NCIIntersect training.nci@anu.edu.au [] [] [] expression_of_interesthost_institution []
  • Parallel Programming for HPC

    29 March 2022

    Parallel Programming for HPC https://dresa.org.au/events/parallel-programming-for-hpc-06469a22-d9fa-4ac2-be38-7be40e9ee872 Move from writing single-threaded programs into the parallel programming paradigm. 2022-03-29 09:30:00 UTC 2022-03-29 12:30:00 UTC NCI NCIIntersect training.nci@anu.edu.au [] [] [] expression_of_interesthost_institution []
  • Learn to Program: Python (beginner)

    4 - 5 April 2022

    Learn to Program: Python (beginner) https://dresa.org.au/events/learn-to-program-python-beginner Learn about the fundamental concepts in programming using Python and apply them to analyse a sample research dataset. 2022-04-04 13:30:00 UTC 2022-04-05 16:30:00 UTC NCI NCIIntersect training.nci@anu.edu.au [] [] [] expression_of_interesthost_institution []
  • Data Manipulation and Visualisation in Python

    7 - 8 April 2022

    Data Manipulation and Visualisation in Python https://dresa.org.au/events/data-manipulation-and-visualisation-in-python Live coding workshop introducing data manipulation and visualisation using Python 2022-04-07 13:30:00 UTC 2022-04-08 16:30:00 UTC NCI NCIIntersect training.nci@anu.edu.au [] [] [] expression_of_interesthost_institution []
  • Introduction to Machine Learning using Python: Introduction & Linear Regression

    11 - 12 April 2022

    Introduction to Machine Learning using Python: Introduction & Linear Regression https://dresa.org.au/events/introduction-to-machine-learning-using-python-introduction-linear-regression Live coding workshop introducing the fundamentals of ML & provide a comprehensive introduction to Linear Regression and Model Training 2022-04-11 13:30:00 UTC 2022-04-12 16:30:00 UTC NCI NCIIntersect training.nci@anu.edu.au [] [] [] expression_of_interesthost_institution []
  • Introduction to Machine Learning using Python: Classification

    25 - 26 April 2022

    Introduction to Machine Learning using Python: Classification https://dresa.org.au/events/introduction-to-machine-learning-using-python-classification-b3b16387-14ee-4feb-b7af-19d3f103dee9 Live coding workshop introducing the Classification models in ML using Python 2022-04-25 13:30:00 UTC 2022-04-26 16:30:00 UTC NCI NCIIntersect training.nci@anu.edu.au [] [] [] expression_of_interesthost_institution []
  • Beyond the Basics: Julia

    29 April 2022

    Beyond the Basics: Julia https://dresa.org.au/events/beyond-the-basics-julia Explore the more advanced features of functions, widely used tools, and benchmarking in Julia 2022-04-29 09:30:00 UTC 2022-04-29 12:30:00 UTC NCI NCIIntersect training.nci@anu.edu.au [] [] [] expression_of_interesthost_institution []
  • Beyond the Basics: Julia

    29 April 2022

    Beyond the Basics: Julia https://dresa.org.au/events/beyond-the-basics-julia-e680fcf2-9480-4e52-ae54-319baf6a1b16 Explore the more advanced features of functions, widely used tools, and benchmarking in Julia 2022-04-29 09:30:00 UTC 2022-04-29 12:30:00 UTC NCI NCIIntersect training.nci@anu.edu.au [] [] [] expression_of_interesthost_institution []
  • Introduction to Machine Learning using Python: SVM & Unsupervised Learning

    3 May 2022

    Introduction to Machine Learning using Python: SVM & Unsupervised Learning https://dresa.org.au/events/introduction-to-machine-learning-using-python-svm-unsupervised-learning-28537696-8775-41b9-bc3a-1d86005d2366 Live coding workshop introducing the Support Vector Machine & Unsupervised models in ML using Python 2022-05-03 13:30:00 UTC 2022-05-03 16:30:00 UTC NCI NCIIntersect training.nci@anu.edu.au [] [] [] expression_of_interesthost_institution []
  • Introduction to Machine Learning using Python: SVM & Unsupervised Learning

    3 May 2022

    Introduction to Machine Learning using Python: SVM & Unsupervised Learning https://dresa.org.au/events/introduction-to-machine-learning-using-python-svm-unsupervised-learning-df1dc7a8-8943-4625-93fd-f91d6a9b5102 Live coding workshop introducing the Support Vector Machine & Unsupervised models in ML using Python 2022-05-03 13:30:00 UTC 2022-05-03 16:30:00 UTC NCI NCIIntersect training.nci@anu.edu.au [] [] [] expression_of_interesthost_institution []
  • Data Manipulation and Visualisation in R at NCI Online

    10 - 11 May 2022

    Data Manipulation and Visualisation in R at NCI Online https://dresa.org.au/events/data-manipulation-and-visualisation-in-r-at-nci-online Learn about Data Manipulation, Data Transformation and Data Visualisation in R using the dplyr, tidyr and ggplot2 packages. 2022-05-10 13:30:00 UTC 2022-05-11 16:30:00 UTC NCI NCIIntersect training.nci@anu.edu.au [] [] [] expression_of_interesthost_institution []
  • Introduction to Machine Learning using Python: Introduction & Linear Regression

    16 - 17 May 2022

    Introduction to Machine Learning using Python: Introduction & Linear Regression https://dresa.org.au/events/introduction-to-machine-learning-using-python-introduction-linear-regression-a4c3a4b7-1f1b-475d-9dd6-0cff71878e8a A live coding workshop explains the fundamentals of Machine Learning and provide a comprehensive introduction to Linear Regression and Model Training. 2022-05-16 13:30:00 UTC 2022-05-17 16:30:00 UTC NCI NCIIntersect training.nci@anu.edu.au [] [] [] expression_of_interesthost_institution []
  • NCI CUDA Python GPU Bootcamp

    18 - 19 May 2022

    NCI CUDA Python GPU Bootcamp https://dresa.org.au/events/nci-cuda-python-gpu-bootcamp This Bootcamp will cover an introduction to GPU programming using CuPY, Numba and CUDA Python and provide hands-on opportunities to learn how to analyze GPU-enabled applications. 2022-05-18 13:00:00 UTC 2022-05-19 16:00:00 UTC NCI NCINVIDIA training.nci@anu.edu.au [] [] [] expression_of_interesthost_institution []
  • Introduction to Machine Learning using R: Classification

    23 - 24 May 2022

    Introduction to Machine Learning using R: Classification https://dresa.org.au/events/introduction-to-machine-learning-using-r-classification Live coding workshop introducing the Classification models in ML using R 2022-05-23 13:30:00 UTC 2022-05-24 16:30:00 UTC NCI NCIIntersect training.nci@anu.edu.au [] [] [] expression_of_interesthost_institution []
  • Introduction to Machine Learning using R: SVM & Unsupervised Learning

    31 May 2022

    Introduction to Machine Learning using R: SVM & Unsupervised Learning https://dresa.org.au/events/introduction-to-machine-learning-using-r-svm-unsupervised-learning Live coding workshop introducing the Support Vector Machine & Unsupervised models in ML using R 2022-05-31 13:30:00 UTC 2022-05-31 16:30:00 UTC NCI NCIIntersect training.nci@anu.edu.au [] [] [] expression_of_interesthost_institution []
  • WORKSHOP: R - fundamental skills for biologists

    1 - 22 June 2022

    WORKSHOP: R - fundamental skills for biologists https://dresa.org.au/events/workshop-r-fundamental-skills-for-biologists Biologists need data analysis skills to be able to interpret, visualise and communicate their research results. While Excel can cover some data analysis needs, there is a better choice, particularly for large and complex datasets. R is a free, open-source software and programming language that enables data exploration, statistical analysis, visualisation and more. The large variety of R packages available for analysing biological data make it a robust and flexible option for data of all shapes and sizes. Getting started can be a little daunting for those without a background in statistics and programming. In this workshop we will equip you with the foundations for getting the most out of R and RStudio, an interactive way of structuring and keeping track of your work in R. Using biological data from a model of influenza infection, you will learn how to efficiently and reproducibly organise, read, wrangle, analyse, visualise and generate reports from your data in R. Topics covered in this workshop include: 1. Spreadsheets, organising data and first steps with R 2. Manipulating and analysing data with dplyr and joining tables 3. Data visualisation 4. Summarized experiments and getting started with Bioconductor **Lead Trainer:** Dr Saskia Freytag (Laboratory Head, Personalised Oncology Division, WEHI) **Format** This online workshop will take place over a series of three-hour sessions. You must attend all four sessions in order to get the most out of the workshop. Expert trainers will guide you through each of the topics and provide activities and take home exercises to help you put your new skills into action. Support will be provided via Slack between sessions. **Date/time:** 1, 8, 15, and 22 June 2022: 2 - 5pm AEST/ 1:30-4:30pm ACST/ 12-3pm AWST 1 June 2022: Spreadsheets, organising data and first steps with R 8 June 2022: Manipulating and analysing data with dplyr and joining tables 15 June 2022: Data visualisation 22 June 2022: Summarized experiments and getting started with Bioconductor Participants must attend all four sessions **Learning outcomes** By the end of the workshop you should be able to: 1. Organise your data for effective use 2. Use RStudio to structure your work in R and run R packages 3. Make use of objects, vectors and functions in R 4. Load, inspect and manipulate data in R 5. Use dplyr and tidyr and packages to manipulate and reshape data 6. Produce and customise scatter plots, box plots, line plots, etc. using ggplot 7. Combine data spread across multiple tables 8. Use the SummarizedExperiment package to store and handle omics data 9. Have some familiarity with Bioconductor 10. Identify sources of help and support from the R community **Who the workshop is for** This workshop is for Australian life science researchers who are using, or intend to use, R to analyse their data. This workshop is suitable for absolute beginners or those who wish to go back to basics to ensure they are using R and RStudio effectively. No prior knowledge of R is required. **How to apply** This workshop is free but participation is subject to application with selection. Applications close at **11:59pm AEST Wednesday 11 May 2022**. You must be associated with an Australian organisation and provide an appropriate organisational email address for your application to be considered. 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. **[Apply here](https://r-fundamentals.eventbrite.com.au/)** 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. 2022-06-01 12:00:00 UTC 2022-06-22 17:00:00 UTC Australian BioCommons Australian BioCommons Melissa Burke (melissa@biocommons.org.au) [] Life scientists 50 workshop expression_of_interest RRStudioBioinformaticsLife scienceData analysisData visualisation
  • 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 []
  • Acacia Object Storage Service Workshop

    12 August 2022

    Kensington, Australia

    Acacia Object Storage Service Workshop https://dresa.org.au/events/acacia-object-storage-service-workshop This hands-on, interactive workshop introduces the Acacia object store now being used at Pawsey, and discusses how to use it from Setonix and from your computer. This workshop introduces object storage in contrast to filesystems, including the use of access IDs and secret keys. It shows how to use S3 tools to interact with Acacia, specifically MinIO and RClone. Best practices for objects and buckets are discussed, as are guidelines and recommendations. The session includes significant time to work through self-paced tutorials, such as moving data among Pawsey's supercomputer/s and Acacia, setting up buckets, creating objects, etc. 2022-08-12 09:30:00 UTC 2022-08-12 15:00:00 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 [] [] 16 workshop open_to_allexpression_of_interest supercomputingsupercomputersobject storageAcaciadata managementdata storageproject data

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