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
pdf
43 MB
Computational Biology: Genomes, Networks, Evolution
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Fall
2015
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