Full playlist with all videos in order is here:
All slides from Fall 2019 are here:
Course website for latest materials is here:
Overview for this lecture:
1. Course overview:
- Staff, students, responses to student survey
- Foundations, frontiers, textbook, homework, quiz
- Final project: teams, mentorship, challenge, relevance, originality, achievement, presentation
2. Why Computational Biology;
- What makes our field unique
3. Overview of the main modules
- Genomes, Expression, Epigenomics, Networks, Genetics, Evolution, Frontiers
4. Biology primer (in the context of this course)
- Central Dogma of Molecular Biology
- DNA, Epigenomics, RNA, Protein, Networks
- Human genetics, evolution
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2016
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3 years ago 01:15:38 4
MIT CompBio Lecture 01 - Introduction (Fall’19)
5 years ago 01:30:43 3
MIT Compbio Lecture 12 - Deep Learning (Fall ’19)
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MIT Compbio Lecture 12 - Deep Learning (Fall ’19)
3 years ago 01:22:44 6
Systems Genetics - Lecture 14 - Deep Learning in Life Sciences (Spring 2021)
3 years ago 01:28:19 1
Disease Circuitry Dissection GWAS - Lecture 12 - Deep Learning in Life Science (Spring 2021)
3 years ago 01:25:00 8
Deep Learning in Life Sciences - Lecture 02 - Machine Learning Foundations (Spring 2021)