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Computational Functional Genomics
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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.

Subject:
Applied Science
Biology
Health, Medicine and Nursing
Life Science
Physical Science
Material Type:
Full Course
Provider:
MIT
Provider Set:
MIT OpenCourseWare
Author:
Gifford, David
Jaakkola, Tommi
Date Added:
02/01/2005
Macro-Microarray
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CC BY-NC-SA
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In this activity, learners explore the "nuts and bolts" of gene chips. Learners construct a simple model of a DNA microarray (also known as gene chips) and learn how microarrays can be used to identify and treat disease--including cancer. This resource includes references and an explanation of microarrays.

Subject:
Genetics
Life Science
Material Type:
Activity/Lab
Provider:
Exploratorium
Author:
Julie Yu
National Science Foundation
The Exploratorium
Date Added:
11/07/2007