IT 471 - Resources
Please check this page quite frequently for updated resources.
Suggested Books
There is no specific text book but the following books will be helpful. Specially the book by Pevzner. We will provide many additional material such as videos, handouts etc during the course. You do not have to purchase any book.
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Pierre Baldi and Soren Brunak, Bioinformatics: The Machine Learning Approach,
The MIT press, 2001
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Bernhard Scholkopf, Koji Tsuda and Jean-Philippe Vert, Kernel Methods in Computational Biology, The MIT press, 2004
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Pavel A. Pevzner, Computational Molecular Biology, An Algorithmic Approach,
The MIT press, 2001
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Neil C. Jones and Pavel A. Pevzner, An Introduction to Bioinformatics
Algorithms, Indian reprint by Ane Books, 2005
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Nello Cristianini and Matthew W. Hahn, Introduction to Computational
Genomics: A Case Studies Approach, 2007, Cambridge University Press
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David Mount, Bioinformatics: Sequence and Genome Analysis, CSHL Press, 2004
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Dan Gusfield, Algorithms on Strings, Trees and Sequences, CUP, 1997
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Helen C. Causton, John Quackenbush and Alvis Brazma, Microarray Gene
Expression Data Analysis:A Beginner's Guide, Blackwell Publishing, 2003
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Scott Markel and Darryl Leon, Sequence Analysis in a Nutshell: A Guide to
Common Tools and Databases, O'Reilly, 2003
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R. Durbin, S. Eddy, A. Krogh and G. Mitchison, Biological Sequence Analysis,
1998, CUP
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Philip E. Bourne and Helge Weissig, Structural Bioinformatics, John Wiley
& Sons, 2003
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Michal Gerhard, Biochemical Pathways: An Atlas of Biochemistry and Molecular
Biology, Wiley-Spektrum, 1998
Suggested Online Material:
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Ron Shamir, Algorithms in Molecular Biology, Course Archive,
http://www.cs.tau.ac.il/~rshamir/algmb.html
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T. A. Brown, Genome (online book)
http://www.ncbi.nlm.nih.gov/books/bv.fcgi?call=bv.View..ShowTOC&rid=genomes.TOC&depth=2
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http://www.genome.gov/25019879 (Understanding the Human Genome project video)
Additional Material:
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http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=Books (NCBI online book
shelf)
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http://www.web-books.com/MoBio/ (Molecular Biology Web Book)
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http://www.nslij-genetics.org/bioinfotraining/ (A list of courses on bioinformatics)