6.047 | Fall 2015 | Undergraduate

Computational Biology

Computational Biology: Genomes, Networks, Evolution

Description:

This textbook is a rigorous, application-focused introduction to methods that decode biological data and reveal principles from molecules to systems. It spans foundational algorithms and modern analyses to connect data, models, and insight across DNA, RNA, regulation, and evolution.

 

Key Topics

  • Sequence alignment
  • HMMs & gene finding
  • RNA folding models
  • Epigenomics & chromatin
  • Phylogenomics and population genomics

Author: Manolis Kellis

Resource Type:
Open Textbooks
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43 MB
Computational Biology: Genomes, Networks, Evolution
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