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Hierarchical Models for Deep Mutational Scans - CGSI 2024

Offered By: Computational Genomics Summer Institute CGSI via YouTube

Tags

Bioinformatics Courses Genomics Courses Molecular Biology Courses Statistical Modeling Courses

Course Description

Overview

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Explore hierarchical models for deep mutational scans in this 35-minute conference talk by Harold Pimentel at the Computational Genomics Summer Institute (CGSI) 2024. Delve into advanced techniques for analyzing the effects of genetic mutations on protein function. Gain insights from related research papers, including Rao et al.'s Rosace framework for robust deep mutational scanning analysis, Yee et al.'s study on SLC22 OCT1 mutations and their impact on drug transporter biophysics and pharmacogenomics, and Livesey and Marsh's investigation into variant effect predictor correlation with functional assays. Learn about cutting-edge approaches in computational genomics and their applications in understanding genetic variations and their functional consequences.

Syllabus

Harold Pimentel | Hierarchical Models for Deep Mutational Scans | CGSI 2024


Taught by

Computational Genomics Summer Institute CGSI

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