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DTSTAMP:20260716T172004Z
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DTSTART:20240704T000000Z
DTEND:20240705T063000Z
DESCRIPTION:There are many interesting patterns that you can extract from g
 enetic variant data. This can include patterns of linkage\, balancing sele
 ction\, or even inbreeding signals. One of the most common approaches is t
 o find sites on the genome that are under selection. \n\nThis in-person wo
 rkshop introduces the basics of genetic selection analysis. It will step y
 ou through the process of identifying signals of selection using your own 
 data (or an example genomic dataset) using the outlier analysis method. \n
 \n**_This workshop covers the same material as our online Genetic Outlier 
 Analysis workshop held in February but will focus on the analysis of parti
 cipants’ own data. Past participants are welcome to apply. Preference wi
 ll be given to those who have their own data they can bring to the worksho
 p._**\n\n**Lead Trainer**: Dr Katarina Stuart\, Research Fellow\, Universi
 ty of Auckland.\n\n**Date/Time:** 4 - 5 July 2024\, 10am - 4:30pm AEST\n\n
 **Location:**  Room 102\, Mathews Building\, F23 Library Walk\, University
  of New South Wales\, Kensington\, NSW (no virtual option available).\n\n*
 *Format:**\n\nThis in-person workshop will take place over two sessions. Y
 ou must attend both sessions as they build on one another. Expert trainers
  will introduce new topics and guide you through hands-on activities to he
 lp you put your new skills into action.\n\n**Learning outcomes:**\n\nBy th
 e end of the workshop you should be able to:\n\n1. Download example genomi
 c data (or prepare your own)\n2. Use the PCAdapt tool to identify outlier 
 loci within a genome.\n3. Use VCFtools to identify outlier SNPs in pairwis
 e population comparisons.\n4. Use Bayescan and Baypass to identify outlier
  SNPs based on allele frequencies across multiple populations.\n5. Use Bay
 pass to identify SNPs that are related to phenotype (GWAS)\n6. Compare the
  results of the different methods and discuss the results.\n\n**Who the wo
 rkshop is for:**\n\nThis workshop is for researchers associated with an Au
 stralian organisation and/or members of the Genetics Society of AustralAsi
 a who will use genetic selection analysis as part of their projects. \n\nP
 reference will be given to those who have their own data they can bring to
  the workshop.\n\nPast participants are welcome to apply.\n\nThis workshop
  requires you to have:\n\n1. (Preferred) Your own data variant files in VC
 F format and a tab delimited sample metadata file containing individual ID
  and other important info for your samples.\n2. Some familiarity with biol
 ogical concepts\, including the concept of selection. \n3. Basic command l
 ine (bash) knowledge. You must know how to navigate the directory structur
 e and copy files between the computers. If you need a refresher on Unix/Li
 nux try[ this online tutorial](https://linuxjourney.com/lesson/the-shell).
 \n4. Basic knowledge of R. You must know how to set up directories\, run c
 ommands\, reading in and outputting files.  If you need a refresher on R t
 ry the[ Introduction to R and RStudio section](https://swcarpentry.github.
 io/r-novice-gapminder/01-rstudio-intro.html) of this online tutorial.\n\n*
 *How to apply:**\n\n**_[Apply here](https://www.eventbrite.com.au/e/worksh
 op-genetic-outlier-analysis-sydney-tickets-893456120307)_**\n\nThis worksh
 op is free but participation is subject to application with selection. \n\
 nApplications close at 11:59pm AEST\, Wednesday 19 June 2024.\n\nApplicati
 ons will be reviewed by the organising committee and all applicants will b
 e informed of the status of their application (successful\, waiting list\,
  unsuccessful) after the closing date. More information on the selection p
 rocess is provided in our[ advice on applying for Australian BioCommons wo
 rkshops.](https://www.biocommons.org.au/workshop-applications)\n\n_This wo
 rkshop is presented by the[ Australian BioCommons](https://www.biocommons.
 org.au/) and the[ Genetics Society of AustralAsia](https://genetics.org.au
 /) with the assistance of a network of facilitators from the national[ Bio
 informatics Training Cooperative](https://www.biocommons.org.au/training-c
 ooperative)._\n\n_This event is part of a series of[ bioinformatics traini
 ng events](https://www.biocommons.org.au/events). If you'd like to hear wh
 en registrations open for other events\, please[ subscribe](https://www.bi
 ocommons.org.au/subscribe) to Australian BioCommons._
LOCATION:UNSW Sydney
SUMMARY:WORKSHOP: Genetic outlier analysis
URL;VALUE=URI:https://www.biocommons.org.au/events/genetic-outlier-jul24
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