WORKSHOP: Genetic Outlier Analysis
This record includes training materials associated with the Australian BioCommons workshop ‘Genetic Outlier Analysis’.
These workshops took place on:
- 27 - 28 February 2024: Online via Zoom
- 10 - 11 April 2024: In person in Melbourne
- 4 - 5 July 2024: In person in Sydney
Event description
There are many interesting patterns that you can extract from genetic variant data. This can include patterns of linkage, balancing selection, or even inbreeding signals. One of the most common approaches is to find sites on the genome that are under selection.
This workshop introduces the basics of genetic selection analysis. It will step you through the process of identifying signals of selection using your own data (or an example genomic dataset) using the outlier analysis method.
Materials are shared under a Creative Commons Attribution 4.0 International agreement unless otherwise specified and were current at the time of the event.
This workshop is presented by theAustralian BioCommons and theGenetics Society of AustralAsia
Lead trainer:
- Dr Katarina Stuart, Research Fellow, University of Auckland.
Facilitators:
Adele Barugahare, Monash Genomics and Bioinformatics Platform
Dr Georgina Samaha, Sydney Informatics Hub, University of Sydney
Dr Ching-Yu Lu, Sydney Informatics Hub, University of Sydney
Soleille Miller, University of NSW
Dr Nandan Deshpande, Sydney Informatics Hub, University of Sydney
Infrastructure provision: Audrey Stott, Pawsey Supercomputing Research Centre
Host: Dr Melissa Burke, Australian BioCommons
Training materials
Files and materials included in this record:
Event metadata (PDF): Information about the event including, description, event URL, learning objectives, prerequisites, technical requirements etc.
Schedules describing the timing of sessions for the in person and online events
Materials shared elsewhere:
These workshops followed the materials developed by Dr Katarina Stuart
DOI: 10.5281/zenodo.14676276
Licence: Creative Commons Attribution 4.0 International
Keywords: Bioinformatics, Genetics
Status: Active
Activity log