Handbook of Hidden Markov Models in Bioinformatics (eBook, ePUB)
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Demonstrating that many useful resources, such as databases, can benefit most bioinformatics projects, this handbook focuses on how to choose and use various methods and programs available for HMMs. It explores HMM implementations important in bioinformatics, including SAM, HMMER, Wise2, PSI-BLAST, and Meta-MEME, and shows how numerous databases and programs, such as Pfam, SMART, SUPERFAMILY, and PANTHER, are used in bioinformatics projects. With the inclusion of problems sets in each chapter and a CD-ROM of related material, the book discusses the use of HMMs for discovering the homology of a...
Demonstrating that many useful resources, such as databases, can benefit most bioinformatics projects, this handbook focuses on how to choose and use various methods and programs available for HMMs. It explores HMM implementations important in bioinformatics, including SAM, HMMER, Wise2, PSI-BLAST, and Meta-MEME, and shows how numerous databases and programs, such as Pfam, SMART, SUPERFAMILY, and PANTHER, are used in bioinformatics projects. With the inclusion of problems sets in each chapter and a CD-ROM of related material, the book discusses the use of HMMs for discovering the homology of a protein family, explains how to build custom HMM databases, and offers solutions to help overcome slow searches.
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