Manolis Kellis
@manoliskellis1·24.9K subscribers·255 videos
MIT CompBio Lecture 08 - Epigenomics
Posted
October 3, 2018
Views
4,270
Likes
49
Comments
1
Engagement
1.17%
October 3, 2018
4,270
49
1
1.17%
Every word spoken in this episode is indexed. Type any phrase to jump straight to the moment it was said.
Type any word or phrase that may have been spoken. Click a result to seek the player to that exact moment.
Try a name, a topic, or a quoted line
1:19:35Now PlayingMIT Computational Biology: Genomes, Networks, Evolution, Health
Prof. Manolis Kellis
Fall 2018
Lecture 08 - Epigenomics
1. Introduction to Epigenomics
- Overview of epigenomics, Diversity of Chromatin modifications
- Antibodies, ChIP-Seq, data generation projects, raw data
2. Primary data processing: Read mapping, Peak calling
- Read mapping: Hashing, Suffix Trees, Burrows-Wheeler Transform
- Quality Control, Cross-correlation, Peak calling, IDR (similar to FDR)
3. Discovery and characterization of chromatin states
- A multi-variate HMM for chromatin combinatorics
- Promoter, transcribed, intergenic, repressed, repetitive states
4. Model complexity: selecting the number of states/marks
- Selecting the number of states, selecting number of marks
- Capturing dependencies and state-conditional mark independence
5. Learning chromatin states jointly across multiple cell types
- Stacking vs. concatenation approach for joint multi-cell type learning
- Defining activity profiles for linking enhancer regulatory networks
6. Epigenome imputation by exploiting chromatin mark correlations
Slides for Lecture 8:
Sentinel Indexing in Progress
Metadata and chapters are available. Claim extraction for this episode is pending.
All video content is delivered via YouTube embedded players in accordance with the YouTube Terms of Service. Sentinel provides research tools that promote discovery and accountability across political media.
