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Evolutionary Models for Cancer and Lineage Tracing - CGSI 2023

Offered By: Computational Genomics Summer Institute CGSI via YouTube

Tags

Computational Biology Courses Bioinformatics Courses Genomics Courses CRISPR-Cas9 Courses

Course Description

Overview

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Explore evolutionary models for cancer and lineage tracing in this 31-minute conference talk by Ben Raphael at the Computational Genomics Summer Institute (CGSI) 2023. Delve into cutting-edge research on tumor phylogeny inference and CRISPR-Cas9 lineage tracing. Learn about the ConDoR model, which uses a copy-number constrained mutation loss approach for reconstructing tumor evolution. Discover the Startle method, a star homoplasy approach for analyzing CRISPR-Cas9 lineage tracing data. Gain insights into the latest computational techniques for understanding cancer evolution and cellular lineages, drawing from Raphael's recent publications in bioRxiv.

Syllabus

Ben Raphael | Evolutionary Models for Cancer and Lineage Tracing | CGSI 2023


Taught by

Computational Genomics Summer Institute CGSI

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