Handbook of Hidden Markov Models in Bioinformatics: 1st Edition (Paperback) book cover

Handbook of Hidden Markov Models in Bioinformatics

1st Edition

By Martin Gollery

Chapman and Hall/CRC

176 pages

Purchasing Options:$ = USD
Paperback: 9780367387198
pub: 2019-10-07
SAVE ~$14.99
$74.95
$59.96
x
Hardback: 9781584886846
pub: 2008-06-12
SAVE ~$18.19
$90.95
$72.76
x
eBook (VitalSource) : 9780429138690
pub: 2008-06-12
from $45.48


FREE Standard Shipping!

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.

Table of Contents

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.

About the Author

Gollery, Martin

Subject Categories

BISAC Subject Codes/Headings:
COM012040
COMPUTERS / Programming / Games
MAT029000
MATHEMATICS / Probability & Statistics / General
SCI008000
SCIENCE / Life Sciences / Biology / General
SCI010000
SCIENCE / Biotechnology