Handbook of Hidden Markov Models in Bioinformatics

By: Gollery, Martin

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Demonstrating that many useful resources, such as databases, can benefit most bioinformatics projects, the Handbook of Hidden Markov Models in Bioinformatics focuses on how to choose and use various methods and programs available for hidden Markov models (HMMs).

The book begins with discussions on key HMM and related profile methods, including the HMMER package, the sequence analysis method (SAM), and the PSI-BLAST algorithm. It then provides detailed information about various types of publicly available HMM databases, such as Pfam, PANTHER, COG, and metaSHARK. After outlining ways to develop and use an automated bioinformatics workflow, the author describes how to make custom HMM databases using HMMER, SAM, and PSI-BLAST. He also helps you select the right program to speed up searches. The final chapter explores several applications of HMM methods, including predictions of subcellular localization, posttranslational modification, and binding site.

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.

Title: Handbook of Hidden Markov Models in Bioinformatics

Author Name: Gollery, Martin

Categories: Other,

Publisher: U.S.A., CRC Press: 2008

ISBN Number: 1584886846

ISBN Number 13: 9781584886846

Binding: Hardcover

Book Condition: Like New

Type: Book

Seller ID: 021748

Description: Like New. Handbook of Hidden Markov Models in Bioinformatics By Gollery, Martin Product Description Demonstrating that many useful resources, such as databases, can benefit most bioinformatics projects, the Handbook of Hidden Markov Models in Bioinformatics focuses on how to choose and use various methods and programs available for hidden Markov models (HMMs). The book begins with discussions on key HMM and related profile methods, including the HMMER package, the sequence analysis method (SAM), and the PSI-BLAST algorithm. It then provides detailed information about various types of publicly available HMM databases, such as Pfam, PANTHER, COG, and metaSHARK. After outlining ways to develop and use an automated bioinformatics workflow, the author describes how to make custom HMM databases using HMMER, SAM, and PSI-BLAST. He also helps you select the right program to speed up searches. The final chapter explores several applications of HMM methods, including predictions of subcellular localization, posttranslational modification, and binding site. 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. Product Details Hardcover: 176 pages Publisher: Chapman & Hall/CRC; 1 edition (June 12, 2008) Language: English ISBN-10: 1584886846 ISBN-13: 978-1584886846 Product Dimensions: 9.3 x 6.2 x 0.7 inches

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