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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.
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English [CC]
FREE
- Learn basic syntax that can apply to any language.
- Learn what is a programming language and the basic concepts for beginners.
- Understand what is Javascript in it's truest form.
- Know the basic syntax of Javascript.
- Know some hidden quirks in Javascript.
Description
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.
Course content
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- Course Introduction Unlimited
- Pairwise Alignment Unlimited
- Finding Regulatory Sequences in DNA: Motif Discovery Unlimited
- Finding Regulatory Sequences in DNA: Motif Discovery (cont.) Unlimited
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- Microarray Technology Unlimited
- Expression Arrays, Normalization, and Error Models Unlimited
- Expression Profiles, Clustering, and Latent Processes Unlimited
- Computational Functional Genomics Unlimited
- Part One: An Example of Clustering Expression Data Unlimited
- Part Two: Computational Functional Genomics (cont.) Unlimited
- Computational Discovery of Regulatory Networks Unlimited
- RNA Silencing Unlimited
- Computational Functional Genomics (cont.) Unlimited
- Human Regulatory Networks Unlimited
- Causal Models Unlimited
- Causal Bayesian Networks, Active Learning Unlimited
- From Biological Data to Biological Insight Unlimited
- Modeling Transcriptional Regulation Unlimited
Instructor
Massachusetts Institute of Technology
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