6.047 / 6.878 Computational Biology: Genomes, Networks, Evolution, Fall 2008

6.047 / 6.878 Computational Biology: Genomes, Networks, Evolution, Fall 2008

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This course focuses on the algorithmic and machine learning foundations of computational biology, combining theory with practice. We study the principles of algorithm design for biological datasets, and analyze influential problems and techniques. We use these to analyze real datasets from large-sca...

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Bibliographic Details
Main Authors: Kellis, Manolis, Galagan, James
Language:en-US
Published: 2008
Subjects:
computational biology
algorithms
machine learning
biology
biological datasets
genomics
proteomics
genomes
sequence analysis
sequence alignment
genome assembly
network motifs
network evolution
graph algorithms
phylogenetics
comparative genomics
python
probability
statistics
entropy
information
Online Access:http://hdl.handle.net/1721.1/103560

Internet

http://hdl.handle.net/1721.1/103560

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