Merit Allocation Training for 2022
This merit allocation training session provides critical information for researchers considering to apply for time on Pawsey’s new Setonix supercomputer in 2022.
Keywords: supercomputer, supercomputing, merit allocation, allocation
Resource type: video
Merit Allocation Training for 2022
https://www.youtube.com/watch?v=XpAg5zsNu3g&t=1110s
https://dresa.org.au/materials/merit-allocation-training-for-2022
This merit allocation training session provides critical information for researchers considering to apply for time on Pawsey’s new Setonix supercomputer in 2022.
training@pawsey.org.au
supercomputer, supercomputing, merit allocation, allocation
WEBINAR: Getting started with deep learning
This record includes training materials associated with the Australian BioCommons webinar ‘Getting started with deep learning’. This webinar took place on 21 July 2021.
Are you wondering what deep learning is and how it might be useful in your research? This high level overview introduces...
Keywords: Deep learning, Bioinformatics, Machine learning
Resource type: video, presentation
WEBINAR: Getting started with deep learning
https://zenodo.org/record/5121004#.YQN_QlMzY3Q
https://dresa.org.au/materials/webinar-getting-started-with-deep-learning
This record includes training materials associated with the Australian BioCommons webinar ‘Getting started with deep learning’. This webinar took place on 21 July 2021.
Are you wondering what deep learning is and how it might be useful in your research? This high level overview introduces deep learning ‘in a nutshell’ and provides tips on which concepts and skills you will need to know to build a deep learning application. The presentation also provides pointers to various resources you can use to get started in deep learning.
The webinar is followed by a short Q&A session.
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 Deep Learning - Slides (PDF): Slides used in the presentation
Materials shared elsewhere:
A recording of the webinar is available on the Australian BioCommons YouTube Channel:
https://youtu.be/I1TmpnZUuiQ
Melissa Burke (melissa@biocommons.org.au)
Titus Tang
Deep learning, Bioinformatics, Machine learning
WEBINAR: Getting started with command line bioinformatics
This record includes training materials associated with the Australian BioCommons webinar ‘Getting started with command line bioinformatics’. This webinar took place on 22 June 2021.
Bioinformatics skills are in demand like never before and biologists are stepping up to the challenge of...
Keywords: Command line, Bioinformatics
Resource type: video, presentation
WEBINAR: Getting started with command line bioinformatics
https://zenodo.org/record/5068997#.YQN4mlMzY3Q
https://dresa.org.au/materials/webinar-getting-started-with-command-line-bioinformatics
This record includes training materials associated with the Australian BioCommons webinar ‘Getting started with command line bioinformatics’. This webinar took place on 22 June 2021.
Bioinformatics skills are in demand like never before and biologists are stepping up to the challenge of learning to analyse large and ever growing datasets. Learning how to use the command line can open up many options for data analysis but getting started can be a little daunting for those without a background in computer science.
Parice Brandies and Carolyn Hogg have recently put together ten simple rules for getting started with command-line bioinformatics to help biologists begin their computational journeys. In this webinar Parice walks you through their hints and tips for getting started with the command line. She covers topics like learning tech speak, evaluating your data and workflows, assessing computational requirements, computing options, the basics of software installation, curating and testing scripts, a bit of bash and keeping good records. The webinar will be followed by a short Q&A session.
The slides were created by Parice Brandies and are based on the publication ‘Ten simple rules for getting started with command-line bioinformatics’ (https://doi.org/10.1371/journal.pcbi.1008645). The slides are shared under a Creative Commons Attribution 4.0 International unless otherwise specified and were current at the time of the webinar.
**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 command line bioinformatics - slides (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/p7pA4OLB2X4
Melissa (melissa@biocommons.org.au)
Parice Brandies
Command line, Bioinformatics
Australian BioCommons YouTube Channel
The Australian BioCommons YouTube channel hosts a collection of recorded webinars on a variety of bioinformatics topics from genomics, to metabolomics, containers, machine learning and more.
Keywords: Bioinformatics
Resource type: video
Australian BioCommons YouTube Channel
https://www.youtube.com/c/AustralianBioCommons
https://dresa.org.au/materials/australian-biocommons-youtube-channel
The Australian BioCommons YouTube channel hosts a collection of recorded webinars on a variety of bioinformatics topics from genomics, to metabolomics, containers, machine learning and more.
Melissa (melissa@biocommons.org.au)
Bioinformatics