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Inferring Parsimonious Migration Histories for Metastatic Cancers

Offered By: Computational Genomics Summer Institute CGSI via YouTube

Tags

Computational Biology Courses Bioinformatics Courses Genomics Courses Cancer Courses Algorithms Courses Phylogenetics Courses Metastasis Courses

Course Description

Overview

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Explore a comprehensive lecture on inferring parsimonious migration histories for metastatic cancers presented at the Computational Genomics Summer Institute (CGSI) 2023. Delve into the research of Mohammed El Kebir as he discusses advanced computational methods for understanding cancer metastasis. Learn about the challenges and complexities involved in reconstructing the evolutionary history of metastatic tumors. Examine the algorithms and approaches used to infer migration patterns of cancer cells between primary and metastatic sites. Gain insights into the application of parsimony principles in reconstructing cancer cell lineages and their movements throughout the body. Discover how these computational techniques contribute to a deeper understanding of cancer progression and potential implications for personalized treatment strategies.

Syllabus

Mohammed El Kebir | Inferring Parsimonious Migration Histories for Metastatic Cancers | CGSI 2023


Taught by

Computational Genomics Summer Institute CGSI

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