Handbook of Hidden Markov Models in Bioinformatics
Autor Martin Golleryen Limba Engleză Hardback – 12 iun 2008
By learning how to effectively use the databases and methods presented in this handbook, you will be able to efficiently identify features of biological interest in your data.
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Specificații
ISBN-13: 9781584886846
ISBN-10: 1584886846
Pagini: 176
Ilustrații: 57 b/w images, 2 tables and 1 halftone
Dimensiuni: 156 x 234 x 15 mm
Greutate: 0.41 kg
Ediția:1
Editura: CRC Press
Colecția Chapman and Hall/CRC
ISBN-10: 1584886846
Pagini: 176
Ilustrații: 57 b/w images, 2 tables and 1 halftone
Dimensiuni: 156 x 234 x 15 mm
Greutate: 0.41 kg
Ediția:1
Editura: CRC Press
Colecția Chapman and Hall/CRC
Public țintă
Academic and Professional Practice & DevelopmentCuprins
Introduction to HMMs and Related Profile Methods. Profile HMMs.HMM Methods.HMM Databases.Building an Analytical Pipeline. Building Custom Databases. Speeding Your Searches.Other Uses of HMMs in Bioinformatics. Index.
Descriere
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.