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Chris's PhD thesis
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MIT Computational Biology Courses
Foundations of Computational and Systems Biology (7.91J/7.36/BE.490/BE.390)
(Biology/Bioengineering spring semester course for graduate and advanced undergraduate students)Systems Biology: Modeling Biological Networks (7.81/8.591/9.531)
(Physics/Biology/BCS fall semester graduate course)Statistical Physics in Biology (8.592J - HST452J)
(Physics/HST spring semester graduate course )Topics in Computational and Systems Biology
(CSB fall semester course for CSB graduate students)Introduction to Computational Molecular Biology (18.417)
(Applied math fall semester course)
Computational Biology Books
Bioinformatics: A Practical Guide to the Analysis of Genes and Proteins.
(Baxevanis and Ouellette)Statistical Methods in Bioinformatics
(Ewens and Grant)Computational Methods in Molecular Biology
(Salzberg, Searls and Kasif)Computational Molecular Biology: An Algorithmic Approach
(Pevzner)Bioinformatics: The Machine Learning Approach
(Baldi and Brunak)Time Warps, String Edits, and Macromolecules: The Theory and Practice of Sequence Comparison
(Sankoff and Kruskal)Biological Sequence Analysis: Probabilistic Models of Proteins and Nucleic Acids
(Durbin, Eddy, Krogh and Mitchison)Introduction to Computational Biology: Maps, sequences and genomes
(Waterman)Introduction to Computational Molecular Biology
(Setubal and Meidanis)