YoVDO

Computational Methods for Modeling and Analyzing Epigenomic Data

Offered By: Computational Genomics Summer Institute CGSI via YouTube

Tags

Epigenomics Courses Bioinformatics Courses Machine Learning Courses Genomics Courses Data Modeling Courses Computational Biology Courses Gene Regulation Courses

Course Description

Overview

Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only!
Explore computational methods for modeling and analyzing epigenomic data in this conference talk by Jason Ernst at the Computational Genomics Summer Institute 2024. Delve into cutting-edge approaches for understanding chromatin states, gene-based epigenomic modeling, and cross-species conservation of functional genomics. Learn about tools like ChromGene for gene-based epigenomic data modeling and ChromHMM for automating chromatin-state discovery. Discover techniques for large-scale imputation of epigenomic datasets and universal chromatin state annotation. Gain insights from related research papers on topics such as genome-wide human-mouse conservation scoring and systematic annotation of diverse human tissues using epigenomic data.

Syllabus

Jason Ernst | Computational Methods for Modeling and Analyzing Epigenomic Data | CGSI 2024


Taught by

Computational Genomics Summer Institute CGSI

Related Courses

Introduction to Artificial Intelligence
Stanford University via Udacity Natural Language Processing
Columbia University via Coursera Probabilistic Graphical Models 1: Representation
Stanford University via Coursera Computer Vision: The Fundamentals
University of California, Berkeley via Coursera Learning from Data (Introductory Machine Learning course)
California Institute of Technology via Independent