Data Processing for Genetics
MyInvolvement pages are for in-person attendees only. To register for the online session, please use the Microsoft Forms link:
Participants that are not part of the McGill Community are also invited to register with the Microsoft Forms link.
Learning your data: Data Processing of Genetic 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 will walk through the process of creating their own dataset from publicly accessible sources. This tutorial will teach students how to understand the formatting of common genetic data formats, update their genomic build, perform standard quality control measures, and carry out standard genetic research techniques such as Principal Component Analyses and Genome-Wide Association Studies.
Prerequisites: Basic Python Knowledge
Prior experience with Scikit-Allele is helpful but not necessary.
**IMPORTANT NOTICE: Attendance for McGill graduate students and postdoctoral fellows is subsidized by Graduate and Postdoctoral Studies. All other attendees such as undergraduate students, interns and/or graduate students from other institutions are required to purchase a ticket to cover organizational and staffing costs. To complete your registration, you must e-transfer $10 (undergraduate student/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 Instructions
MyInvolvement pages are for in-person attendees only. To register for the online session, please use the Microsoft Forms link.