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Authors: Barlow, Melanie (orcid: 000...  or Emilia Decker  or Bonu, Tarun (orcid: 0000-00...  or Gustafsson, Johan (orcid: 0... 

WEBINAR: Scaling up bioinformatics with ABLeS, the Australian BioCommons Leadership Share

This record includes training materials associated with the Australian BioCommons webinar ‘Scaling up bioinformatics with ABLeS, the Australian BioCommons Leadership Share’. This webinar took place on 12 March 2024.
Event description
The Australian BioCommons Leadership Share (ABLeS) supports...

Keywords: Bioinformatics, Computational biology, Computational infrastructure

WEBINAR: Scaling up bioinformatics with ABLeS, the Australian BioCommons Leadership Share https://dresa.org.au/materials/webinar-scaling-up-bioinformatics-with-ables-the-australian-biocommons-leadership-share This record includes training materials associated with the Australian BioCommons webinar ‘Scaling up bioinformatics with ABLeS, the Australian BioCommons Leadership Share’. This webinar took place on 12 March 2024. Event description The Australian BioCommons Leadership Share (ABLeS) supports access to, and efficient use of, national computational systems for big-data bioinformatics. Designed for established life sciences projects, groups, institutes and consortia, ABLeS can be used to facilitate software optimisation and scaling, implementation of optimised software for production analyses, and creation of reference data. This webinar highlights how ABLeS is being used by life science communities across Australia to access and leverage bioinformatics at scale. We’ll explain the structure of the ABLeS program and how your life science community can get involved, as well as providing a breakdown of the program expectations and the support available from the BioCommons and our partners. Community members making use of ABLeS will share their perspective on the program, and the research outcomes that have resulted. ABLeS is supported by the Australian BioCommons in partnership with Bioplatforms Australia, the National Computational Infrastructure, and the Pawsey Supercomputing Centre. Speakers: Australian BioCommons: Dr Steven Manos Dr Johan Gustafsson Dr Ziad Al Bkhetan   ABLeS users: Dr Hardip Patel, National Centre for Indigenous Genomics, John Curtin School of Medical Research, Australian National University Chelsea Mayoh, Zero Childhood Cancer, Children's Cancer Institute Theodore Allnutt, Royal Botanic Gardens Victoria Materials Materials are shared under a Creative Commons Attribution 4.0 International agreement unless otherwise specified and were current at the time of the event. Files and materials included in this record: Event metadata (PDF): Information about the event including, description, event URL, learning objectives, prerequisites, technical requirements etc. Index of training materials (PDF): List and description of all materials associated with this event including the name, format, location and a brief description of each file. BioCommons_ABLeS: A PDF copy of the slides presented by the BioCommons team during the webinar. Mayoh_ABLeS: A PDF copy of the slides presented by Chelsea Mayoh   Materials shared elsewhere: A recording of this webinar is available on the Australian BioCommons YouTube Channel: https://youtu.be/Eb0z2-yaJbY   Melissa Burke (melissa@biocommons.org.au) Bioinformatics, Computational biology, Computational infrastructure
WEBINAR: Getting started with proteomics

This record includes training materials associated with the Australian BioCommons webinar ‘Getting started with proteomics’. This webinar took place on 7 June 2023.

Event description 

Proteomics aims to identify and quantify all the proteins and peptides within a sample. Mass-spectrometry is...

Keywords: Bioinformatics, Proteomics, Mass spectrometry

WEBINAR: Getting started with proteomics https://dresa.org.au/materials/webinar-getting-started-with-proteomics-134c519c-0cea-4195-b444-1e73d551a20e This record includes training materials associated with the Australian BioCommons webinar ‘Getting started with proteomics’. This webinar took place on 7 June 2023. Event description  Proteomics aims to identify and quantify all the proteins and peptides within a sample. Mass-spectrometry is the most common tool for proteomics and the wide array of methods, techniques and specialised approaches available have made it a popular method for probing cells, tissue and organisms in response to various stimuli or diseases. Each proteomics method has unique experimental design considerations and optimum workflows for data analysis meaning that there is no one-size-fits all solution. The variety of approaches available provides flexibility but can be bewildering and a barrier to getting started.  This webinar sets you up with the foundational knowledge of what to look out for when designing and understanding proteomics experiments. It outlines what you can and can’t do with proteomics, the type of data to expect as well as common data analysis approaches and quality control steps. This webinar was developed in collaboration with the Australian Core Facilities and Australian Proteomics Communities. Materials Materials are shared under a Creative Commons Attribution 4.0 International agreement unless otherwise specified and were current at the time of the event. Files and materials included in this record: Event metadata (PDF): Information about the event including, description, event URL, learning objectives, prerequisites, technical requirements etc. Index of training materials (PDF): List and description of all materials associated with this event including the name, format, location and a brief description of each file. Getting started with proteomics_slides: A PDF copy of the slides presented during the webinar. Materials shared elsewhere: A recording of this webinar is available on the Australian BioCommons YouTube Channel: https://youtu.be/RSrk2yqklQo Melissa Burke (melissa@biocommons.org.au) Bioinformatics, Proteomics, Mass spectrometry
WORKSHOP: Make your bioinformatics workflows findable and citable

This record includes training materials associated with the Australian BioCommons workshop ‘Make your bioinformatics workflows findable and citable’. This workshop took place on 21 March 2023.

Event description

Computational workflows are invaluable resources for research communities. They help...

Keywords: Bioinformatics, Workflows, WorkflowHub, FAIR, Open Science

WORKSHOP: Make your bioinformatics workflows findable and citable https://dresa.org.au/materials/workshop-make-your-bioinformatics-workflows-findable-and-citable-74e85d1c-d869-429e-b942-8391f4bab23d This record includes training materials associated with the Australian BioCommons workshop ‘Make your bioinformatics workflows findable and citable’. This workshop took place on 21 March 2023. Event description Computational workflows are invaluable resources for research communities. They help us  standardise common analyses, collaborate with other researchers, and support reproducibility. Bioinformatics workflow developers invest significant time and expertise to create, share, and maintain these resources for the benefit of the wider community and being able to easily find and access workflows is an essential factor in their uptake by the community. Increasingly, the research community is turning to workflow registries to find and access public workflows that can be applied to their research. Workflow registries support workflow findability and citation by providing a central repository and allowing users to search for and discover them easily. This workshop will introduce you to workflow registries and support attendees to register their workflows on the popular workflow registry, WorkflowHub. We’ll kick off the workshop with an introduction to the concepts underlying workflow findability, how it can benefit workflow developers, and how you can make the most of workflow registries to share your computational workflows with the research community. You will then have the opportunity to register your own workflows in WorkflowHub with support from our trainers.  Materials are shared under a Creative Commons Attribution 4.0 International agreement unless otherwise specified and were current at the time of the event. Files and materials included in this record: Event metadata (PDF): Information about the event including, description, event URL, learning objectives, prerequisites, technical requirements etc. Index of training materials (PDF): List and description of all materials associated with this event including the name, format, location and a brief description of each file. 2023-03-21_Workflows_slides (PDF): A copy of the slides presented during the workshop Materials shared elsewhere: A recording of the first part of this workshop is available on the Australian BioCommons YouTube Channel: https://youtu.be/2kGKxaPuQN8 Melissa Burke (melissa@biocommons.org.au) Bioinformatics, Workflows, WorkflowHub, FAIR, Open Science
WEBINAR: Here's one we prepared earlier: (re)creating bioinformatics methods and workflows with Galaxy Australia

This record includes training materials associated with the Australian BioCommons webinar ‘Here’s one we prepared earlier: (re)creating bioinformatics methods and workflows with Galaxy Australia’. This webinar took place on 26 October 2022.

Event description 

Have you discovered a brilliant...

Keywords: Bioinformatics, Workflows, FAIR, Galaxy Australia

WEBINAR: Here's one we prepared earlier: (re)creating bioinformatics methods and workflows with Galaxy Australia https://dresa.org.au/materials/webinar-here-s-one-we-prepared-earlier-re-creating-bioinformatics-methods-and-workflows-with-galaxy-australia-134a8bf5-3801-421f-a454-e0f9020f4871 This record includes training materials associated with the Australian BioCommons webinar ‘Here’s one we prepared earlier: (re)creating bioinformatics methods and workflows with Galaxy Australia’. This webinar took place on 26 October 2022. Event description  Have you discovered a brilliant bioinformatics workflow but you’re not quite sure how to use it? In this webinar we will introduce the power of Galaxy for construction and (re)use of reproducible workflows, whether building workflows from scratch, recreating them from published descriptions and/or extracting from Galaxy histories. Using an established bioinformatics method, we’ll show you how to: Use the workflows creator in Galaxy Australia  Build a workflow based on a published method Annotate workflows so that you (and others) can understand them  Make workflows finable and citable (important and very easy to do!) Materials are shared under a Creative Commons Attribution 4.0 International agreement unless otherwise specified and were current at the time of the event. Files and materials included in this record: Event metadata (PDF): Information about the event including, description, event URL, learning objectives, prerequisites, technical requirements etc. Index of training materials (PDF): List and description of all materials associated with this event including the name, format, location and a brief description of each file. GalaxyWorkflows_Slides (PDF): A PDF copy of the slides presented during the webinar. Materials shared elsewhere: A recording of this webinar is available on the Australian BioCommons YouTube Channel: https://youtu.be/IMkl6p7hkho Melissa Burke (melissa@biocommons.org.au) Bioinformatics, Workflows, FAIR, Galaxy Australia
WORKSHOP: R: fundamental skills for biologists

This record includes training materials associated with the Australian BioCommons workshop ‘R: fundamental skills for biologists’. This workshop took place over four, three-hour sessions on 1, 8, 15 and 22 June 2022.

 

Event description

Biologists need data analysis skills to be able to...

Keywords: Bioinformatics, Analysis, Statistics, R software, RStudio, Data visualisation

WORKSHOP: R: fundamental skills for biologists https://dresa.org.au/materials/workshop-r-fundamental-skills-for-biologists-81aa00db-63ad-4962-a7ac-b885bf9f676b This record includes training materials associated with the Australian BioCommons workshop ‘R: fundamental skills for biologists’. This workshop took place over four, three-hour sessions on 1, 8, 15 and 22 June 2022.   Event description 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: Spreadsheets, organising data and first steps with R Manipulating and analysing data with dplyr Data visualisation Summarized experiments and getting started with Bioconductor   This workshop is presented by the Australian BioCommons and Saskia Freytag from WEHI  with the assistance of a network of facilitators from the national Bioinformatics Training Cooperative. Materials are shared under a Creative Commons Attribution 4.0 International agreement unless otherwise specified and were current at the time of the event. Files and materials included in this record: Event metadata (PDF): Information about the event including, description, event URL, learning objectives, prerequisites, technical requirements etc. Index of training materials (PDF): List and description of all materials associated with this event including the name, format, location and a brief description of each file. Schedule (PDF): A breakdown of the topics and timings for the workshop Recommended resources (PDF): A list of resources recommended by trainers and participants Q_and_A(PDF): Archive of questions and their answers from the workshop Slack Channel. Materials shared elsewhere:   This workshop follows the tutorial ‘Introduction to data analysis with R and Bioconductor’ which is publicly available. https://saskiafreytag.github.io/biocommons-r-intro/ This is derived from material produced as part of The Carpentries Incubator project https://carpentries-incubator.github.io/bioc-intro/ Melissa Burke (melissa@biocommons.org.au) Bioinformatics, Analysis, Statistics, R software, RStudio, Data visualisation
ML4AU: Trainings, trainers and building an ML community

This lightning talk provides an update on the current state of machine lerning training activities. Additionally, the talk will introduce the training portal on the ML4AU website, which has been created to address some of the challenges faced by the trainer community.

You can watch the YouTube...

Keywords: machine learning, training, skills, community of practice, trainers, training material

ML4AU: Trainings, trainers and building an ML community https://dresa.org.au/materials/ml4au-trainings-trainers-and-building-an-ml-community-891b095f-91c2-461d-8039-1c25f50f5857 This lightning talk provides an update on the current state of machine lerning training activities. Additionally, the talk will introduce the training portal on the ML4AU website, which has been created to address some of the challenges faced by the trainer community. You can watch the YouTube video here: https://youtu.be/cQS0guC5_Cg contact@ardc.edu.au machine learning, training, skills, community of practice, trainers, training material
ARDC FAIR Data 101 self-guided

FAIR Data 101 v3.0 is a self-guided course covering the FAIR Data principles

The FAIR Data 101 virtual course was designed and delivered by the ARDC Skilled Workforce Program twice in 2020 and has now been reworked as a self-guided course.

The course structure was based on 'FAIR Data in the...

Keywords: training material, FAIR data, video, webinar, activities, quiz, FAIR, research data management

ARDC FAIR Data 101 self-guided https://dresa.org.au/materials/ardc-fair-data-101-self-guided-2d794a84-f0ff-4e11-a39c-fa8ea481e097 FAIR Data 101 v3.0 is a self-guided course covering the FAIR Data principles The FAIR Data 101 virtual course was designed and delivered by the ARDC Skilled Workforce Program twice in 2020 and has now been reworked as a self-guided course. The course structure was based on 'FAIR Data in the Scholarly Communications Lifecycle', run by Natasha Simons at the FORCE11 Scholarly Communications Institute. These training materials are hosted on GitHub. contact@ardc.edu.au training material, FAIR data, video, webinar, activities, quiz, FAIR, research data management