Peer-to-Peer Teaching - Intro to CRISPR Screen Analysis using "MAGeCK" R package
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Peer-to-Peer Teaching - Intro to CRISPR Screen Analysis using "MAGeCK" R package In-Person
Welcome to the Peer-to-Peer Teaching Spring Season 2025. These sessions are taught by your colleagues to fill our knowledge gaps and keep up with the accelerated pace at which bioinformatics grows as well as other data analysis methodologies.
This session is dedicated to CRISPR data analysis, and will be led by our colleague Juan Martinez Villalobos who is a postgraduate associate in the the Augert Lab at the Department of Pathology.
Summary:
CRISPR screening is a powerful technique that allows researchers to systematically study gene function across entire genomes. Whether you are new to CRISPR screens or looking to strengthen your analysis skills, this workshop will guide you through the essentials of CRISPR screen analysis. We will break down complex analysis workflows into manageable steps and introduce you to MAGeCKFlute, a popular analysis pipeline used by many researchers in the field.
This session will guide you through:
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Understanding the fundamentals of CRISPR screens and why they're important
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Learning step-by-step analysis workflows that you can apply to your own research
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Getting hands-on experience with the MAGeCK pipeline
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Practicing data analysis with real CRISPR screening datasets
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Learning best practices for documenting your analysis
Prerequisites:
The workshop is designed to be accessible to beginners in CRISPR screening analysis. While all are welcome to attend, having intermediate R programming skills will help you get the most out of the hands-on portions of the workshop. We'll work together through practical examples, ensuring you understand each step of the analysis process.
Packages: MAGeCKFlute (2.9.0). tidyverse (2.0.0), ggpubr (0.6.0)
- Date:
- Thursday, February 20, 2025
- Time:
- 10:00am - 12:00pm
- Time Zone:
- Eastern Time - US & Canada (change)
- Location:
- SHM L 111, Cushing/Whitney Medical Library, 333 Cedar Street
- Categories:
- Bioinformatics Peer-to-Peer Teaching