This course covers a wide range of topics in machine learning applied to genomics, including dynamic programming, hidden Markov models, RNA analysis, epigenomics, regulatory genomics, deep learning, population genetics, GWAS, and genome evolution. The course also delves into topics like network inference, comparative genomics, phylogenetics, cancer genomics, and single-cell genomics. Students will learn various analytical and computational tools used in genomics research. The teaching method involves lectures on different genomics topics, with a focus on applying machine learning techniques. This course is intended for individuals interested in the intersection of machine learning and genomics, such as bioinformatics researchers, computational biologists, and data scientists looking to specialize in genomics.
Overview
Syllabus
MIT CompBio Lecture 01 - Introduction (Fall'19).
MIT CompBio Lecture 02 - Dynamic Programming (Fall'19).
MIT CompBio Lecture 03 - Hashing BLAST Database Search (Fall'19).
MIT CompBio Lecture 04 - HMMs Hidden Markov Models I (Fall'19).
MIT CompBio Lecture 05 - HMMs Hidden Markov Models II (Fall'19).
MIT CompBio Lecture 06 - Expression Analysis Clustering Classification (Fall '19).
MIT CompBio Lecture 07 - RNA world, RNA-seq, RNA folding (Fall '19).
MIT CompBio Lecture 08 - Epigenomics I (Fall '19).
MIT CompBio Lecture 09 - Epigenomics II (Fall '19).
MIT CompBio Lecture 10 - Regulatory Genomics (Fall '19).
MIT CompBio Lecture 11 - Network inference and analysis (Fall '19).
MIT Compbio Lecture 12 - Deep Learning (Fall '19).
MIT Compbio Lecture 13 - Population Genetics (Fall 2019).
MIT CompBio Lecture 14 - GWAS (Fall 2019).
MIT CompBio Lecture 15 - eQTLs Mediation (Fall 2019).
MIT CompBio Lecture 16 - Systems Genetics (Fall 2019).
MIT CompBio Lecture 17 - Comparative Genomics (Fall 2019).
MIT CompBio Lecture 18 - Genome Evolution (Fall 2019).
MIT CompBio Lecture 19 - Phylogenetics (Fall 2019).
MIT CompBio Lecture 20 - Phylogenomics (Fall 2019).
MIT CompBio Lecture 21 - Single-cell genomics (Fall 2019).
MIT CompBio Lecture 22 - Cancer Genomics (Fall 2019).
MIT CompBio Lecture 23 - Multi-Phenotype analyses.
MIT CompBio Lecture 24 - Genome Engineering (Fall 2019).
MIT CompBio Lecture 25 - How to Present - Papers, Figures, Presentations.
MIT Compbio Lecture 11 1/2 - 6047 Buzzword Recitation (Fall '19).
Taught by
Manolis Kellis
