Lecture notes. Written from the material of MIT 7.091J, licensed CC BY-NC-SA 4.0. Notes, not a transcript — reorganised and rewritten, carrying the same licence.
MIT 7.091J¶
23 chapters, written from the course's material.
Contents¶
- Introduction to Computational Biology
- Sequencing Platforms and BLAST Statistics
- Global Alignment and Scoring Matrices
- Markov Models and Comparative Genomics
- Read Alignment with the BWT/FM Index
- OLC and De Bruijn Assembly
- ChIP-seq Peak Calling and IDR
- RNA-seq, Isoforms, and Expression Statistics
- Sequence Motifs and the Gibbs Sampler
- Markov and Hidden Markov Models
- Real-World HMMs and RNA Structure
- Protein Structure and Energy Functions
- Refining and Predicting Protein Structure
- Predicting Protein Interactions
- Clustering and Inferring Regulatory Networks
- Factor Graphs and Interactome Networks
- Logic Models of Cell Signaling
- Reading Chromatin State and Genome Looping
- Heritability and Quantitative Trait Loci
- Genome-Wide Association Studies
- Synthetic Biology: Building Genetic Circuits
- Engineering Genomes to Test Causality
- Recitation Worked Examples
Sources¶
The book carries CC BY-NC-SA 4.0.
| Offering | Original | Commit | Licence |
|---|---|---|---|
| MIT 7.091J | ocw.mit.edu/courses/7-91j-foundations-of-computational-and-systems-biology-spring-2014/ | — | CC BY-NC-SA 4.0 |