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Content provider: Australian BioCommons 

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Authors: Dow, Ellen (orcid: 0000-000...  or Patel, Hardip (orcid: 0000-... 

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: KBase - A knowledge base for systems biology

This record includes training materials associated with the Australian BioCommons webinar ‘KBase - A knowledge base for systems biology’. This webinar took place on 22 September 2021.

Event description 

Developed for bench biologists and bioinformaticians, The Department of Energy Systems...

Keywords: Systems Biology, FAIR Research, Open Source Software, Metagenomics, Microbiology

WEBINAR: KBase - A knowledge base for systems biology https://dresa.org.au/materials/webinar-kbase-a-knowledge-base-for-systems-biology-653d9753-989d-4194-9230-6e2d90652955 This record includes training materials associated with the Australian BioCommons webinar ‘KBase - A knowledge base for systems biology’. This webinar took place on 22 September 2021. Event description  Developed for bench biologists and bioinformaticians, The Department of Energy Systems Biology Knowledgebase (KBase) is a free, open source, software and data science platform designed to meet the grand challenge of systems biology: predicting and designing biological function. This webinar will provide an overview of the KBase mission and user community, as well as a tour of the online platform and basic functionality. You’ll learn how KBase can support your research: Upload data, run analysis tools (Apps), share your analysis with collaborators, and publish your data and reproducible workflows. We’ll highlight a brand new feature that enables users to link environment and measurement data to sequencing data. You’ll also find out how KBase supports findable, accessible, interoperable, and reusable (FAIR) research by providing open, reproducible, shareable bioinformatics workflows. 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. Q&A for Australian BioCommons KBase Webinar [PDF]: Document containing answers to questions asked during the webinar and links to additional resources Introduction to KBase: Australian BioCommons Webinar [PDF]: Slides presented during the webinar Materials shared elsewhere: A recording of the webinar is available on the Australian BioCommons YouTube Channel: https://youtu.be/tJ94i9gOJfU The slides are also available as Google slides:  https://tinyurl.com/KBase-webinar-slides Melissa Burke (melissa@biocommons.org.au) Systems Biology, FAIR Research, Open Source Software, Metagenomics, Microbiology