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PRODID:-//132.216.98.100//NONSGML kigkonsult.se iCalcreator 2.20.4//
BEGIN:VEVENT
UID:20260515T183805EDT-4268X4LP9F@132.216.98.100
DTSTAMP:20260515T223805Z
DESCRIPTION:MyInvolvement pages are for in-person attendees only. To regist
 er for the online session\, please use the Microsoft Forms link:Participan
 ts that are not part of the McGill Community are also invited to register 
 with the Microsoft Forms link.Learning your data: Data Processing of Genet
 ic Data.Description: Processing open access genetic data is often a vital 
 step for many human genetic projects\, but the process of ensuring that a 
 dataset is updated and clean can be opaque. In this tutorial\, students wi
 ll walk through the process of creating their own dataset from publicly ac
 cessible sources. This tutorial will teach students how to understand the 
 formatting of common genetic data formats\, update their genomic build\, p
 erform standard quality control measures\, and carry out standard genetic 
 research techniques such as Principal Component Analyses and Genome-Wide A
 ssociation Studies.Prerequisites: Basic Python KnowledgePrior experience w
 ith Scikit-Allele is helpful but not necessary.**IMPORTANT NOTICE: Attenda
 nce for McGill graduate students and postdoctoral fellows is subsidized by
  Graduate and Postdoctoral Studies. All other attendees such as undergradu
 ate students\, interns and/or graduate students from other institutions ar
 e required to purchase a ticket to cover organizational and staffing costs
 . To complete your registration\, you must e-transfer $10 (undergraduate s
 tudent/trainee) $25 (staff) or $100 (faculty) to workshop-micm [at] mcgill
 .ca within 24 hours of RSVP'ing to this event. If we do not receive your e
 -transfer\, you will have given up your spot.Online Event InstructionsMyIn
 volvement pages are for in-person attendees only. To register for the onli
 ne session\, please use the Microsoft Forms link.
DTSTART:20250813T130000Z
DTEND:20250813T170000Z
LOCATION:Education Building\, QC\, Canada\, Montreal\, H3A 1Y2\, 3700 rue M
 cTavish
SUMMARY:Data Processing for Genetics
URL:https://www.mcgill.ca/involvement/channels/event/data-processing-geneti
 cs-366044
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