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Introduction to Bioinformatics and Research Applications Workshop

Introduction to Bioinformatics and Research Applications Workshop

We live in an era of genomics. With sequencing costs dropping dramatically over the past decade, vast amounts of genomic data are now being generated across many fields. These include well known applications like ancestry testing (i.e.23andMe), predicting cancer risks, identifying COVID-19 variants, to more theoretical uses in evolutionary biology, molecular ecology, and beyond.

Do you understand why one sequencing approach is chosen over another?

This introductory workshop is designed for participants from all backgrounds - no prior experience required. We’ll explore key types of sequencing data and how they are applied in biological research so you can better understand projects involving sequencing or design your own experiment. Topics will include:

  • Genome-wide association studies (GWAS) for identifying genes linked to traits or diseases
  • Genome assembly for detecting chromosomal structural variation
  • Environmental DNA (eDNA) analysis for species detection in ecological studies
  • ...and more (tell us what you're curious about in a pre-workshop survey)

By the end of the workshop, participants will have a basic understanding of:

  • Common sequencing approaches and their differences
  • The strengths and limitations of each method
  • How to choose an appropriate sequencing strategy for a given research question

 

Pre-workshop setup:

Please have a laptop or phone ready for this workshop.

 

Contact info:

If you have any questions, concerns, or accessibility needs, please email yue.yu@ubc.ca

 

Date:
Tuesday, September 9, 2025
Time:
9:30am - 11:00am
Room:
548 and 552 - Presentation Room
Location:
Koerner Library
Categories:
  Data     Research Commons     Research Data Management     Special Events  
Presenter(s):
Cassandra Elphinstone, Zhiqin Long, Xingwan Yi, Kaede Hirabayashi, Amy Kim & Yue Yu
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Presenter(s)

Cassandra Elphinstone, Zhiqin Long, Xingwan Yi, Kaede Hirabayashi, Amy Kim & Yue Yu

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