YoVDO

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

Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only!
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

Related Courses

Synapses, Neurons and Brains
Hebrew University of Jerusalem via Coursera
Моделирование биологических молекул на GPU (Biomolecular modeling on GPU)
Moscow Institute of Physics and Technology via Coursera
Bioinformatics Algorithms (Part 2)
University of California, San Diego via Coursera
Biology Meets Programming: Bioinformatics for Beginners
University of California, San Diego via Coursera
Neuronal Dynamics
École Polytechnique Fédérale de Lausanne via edX