7.90J | Spring 2005 | Graduate

Computational Functional Genomics

Course Description

The course focuses on casting contemporary problems in systems biology and functional genomics in computational terms and providing appropriate tools and methods to solve them. Topics include genome structure and function, transcriptional regulation, and stem cell biology in particular; measurement technologies such as …
The course focuses on casting contemporary problems in systems biology and functional genomics in computational terms and providing appropriate tools and methods to solve them. Topics include genome structure and function, transcriptional regulation, and stem cell biology in particular; measurement technologies such as microarrays (expression, protein-DNA interactions, chromatin structure); statistical data analysis, predictive and causal inference, and experiment design. The emphasis is on coupling problem structures (biological questions) with appropriate computational approaches.
Learning Resource Types
Lecture Notes
Projects with Examples
Diagrams of the genetic transcription process.
Three steps in the transcription of protein-coding genes. (Image by Prof. David Gifford.)