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Computational Deconvolution of Cancer Genomes and Transcriptomes - CGSI 2022

Offered By: Computational Genomics Summer Institute CGSI via YouTube

Tags

Bioinformatics Courses Transcriptomics Courses Statistical Modeling Courses DNA Sequencing Courses Cancer Genomics Courses RNA Sequencing Courses Tumor Heterogeneity Courses

Course Description

Overview

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Explore cutting-edge computational techniques for deconvoluting cancer genomes and transcriptomes in this comprehensive lecture by Professor Wenyi Wang from MD Anderson Cancer Center. Delve into advanced methods for analyzing heterogeneous tumor samples, reconstructing subclonal architectures, and characterizing genetic intra-tumor heterogeneity. Examine groundbreaking research on tumor cell total mRNA expression and its impact on cancer phenotypes. Learn about innovative tools like CliP for DNA sequencing data analysis and MuSE for improved mutation calling sensitivity. Gain insights into transcriptome deconvolution of tumor samples with immune infiltration and discover how these computational approaches are shaping our understanding of cancer biology and potential therapeutic strategies.

Syllabus

Wenyi Wang | Computational deconvolution of cancer genomes/transcriptomes | CGSI 2022


Taught by

Computational Genomics Summer Institute CGSI

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