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DTSTAMP:20260711T165207Z
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DTSTART:20240410T000000Z
DTEND:20240411T063000Z
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**_A similar in-person workshop will be held in Sydney in the mid
 dle of the 2024._**\n\n**Lead Trainer**: Dr Katarina Stuart\, Research Fel
 low\, University of Auckland.\n\n**Date/Time:** 10 - 1 1 April 2024\, 10am
  - 4:30pm AEST\n\n**Location:** Melbourne Bioinformatics\, 21 Bedford St\,
  North Melbourne\, Victoria (no virtual option available).\n\n**Format:**\
 n\nThis in-person workshop will take place over two sessions. You must att
 end both sessions as they build on one another. Expert trainers will intro
 duce new topics and guide you through hands-on activities to help you put 
 your new skills into action.\n\n**Learning outcomes:**\n\nBy the end of th
 e workshop you should be able to:\n\n1. Download example genomic 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 pairwise populatio
 n comparisons.\n4. Use Bayescan and Baypass to identify outlier SNPs based
  on allele frequencies across multiple populations.\n5. Use Baypass to ide
 ntify SNPs that are related to phenotype (GWAS)\n6. Compare the results of
  the different methods and discuss the results.\n\n**Who the workshop is f
 or:**\n\nThis workshop is for researchers associated with an Australian or
 ganisation and/or members of the Genetics Society of AustralAsia who will 
 use genetic selection analysis as part of their projects. \n\nPreference w
 ill be given to those who have their own data they can bring to the worksh
 op.\n\nPast participants are welcome to apply.\n\nThis workshop requires y
 ou to have:\n\n1. (Preferred) Your own data variant files in VCF format an
 d a tab delimited sample metadata file containing individual ID and other 
 important info for your samples.\n2. Some familiarity with biological conc
 epts\, including the concept of selection. \n3. Basic command line (bash) 
 knowledge. You must know how to navigate the directory structure and copy 
 files between the computers. If you need a refresher on Unix/Linux try[ th
 is online tutorial](https://linuxjourney.com/lesson/the-shell).\n4. Basic 
 knowledge of R. You must know how to set up directories\, run commands\, r
 eading in and outputting files.  If you need a refresher on R try the[ Int
 roduction to R and RStudio section](https://swcarpentry.github.io/r-novice
 -gapminder/01-rstudio-intro.html) of this online tutorial.\n\n**How to app
 ly:**\n\n**_[Apply here](https://www.eventbrite.com.au/e/workshop-genetic-
 outlier-analysis-melbourne-tickets-846608808737)_**\n\nThis workshop is fr
 ee but participation is subject to application with selection. \n\nApplica
 tions close at 11:59pm AEDT\, Thursday 28 March 2024.\n\nApplications will
  be reviewed by the organising committee and all applicants will be inform
 ed of the status of their application (successful\, waiting list\, unsucce
 ssful) after the closing date. More information on the selection process i
 s provided in our[ advice on applying for Australian BioCommons workshops.
 ](https://www.biocommons.org.au/workshop-applications)\n\n_This workshop i
 s 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[ Bioinformat
 ics Training Cooperative](https://www.biocommons.org.au/training-cooperati
 ve)._\n\n_This event is part of a series of[ bioinformatics training event
 s](https://www.biocommons.org.au/events). If you'd like to hear when regis
 trations open for other events\, please[ subscribe](https://www.biocommons
 .org.au/subscribe) to Australian BioCommons._
SUMMARY:WORKSHOP: Genetic outlier analysis
URL;VALUE=URI:https://www.biocommons.org.au/events/genetic-outlier-apr24
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