Protein Homology Detection Through Alignment of Markov Random Fields: Using Mrfalign

Xu, Jinbo/ Wang, Sheng/ Ma, Jianzhu

ISBN 10: 331914913X / ISBN 13: 9783319149134

Published by Springer-Verlag New York Inc, 2015

About this Item

51 pages. 8.75x6.00x0.25 inches. In Stock.

Seller Inventory # x-331914913X

Bibliographic Details

• Title: Protein Homology Detection Through Alignment of Markov Random Fields: Using Mrfalign
• Publisher: Springer-Verlag New York Inc
• Publication Date: 2015
• Language: English
• ISBN 10: 331914913X
• ISBN 13: 9783319149134
• Binding: Paperback
• Condition: Brand New
• Weight: 0.14 kilograms

About this title

Synopsis

This work covers sequence-based protein homology detection, a fundamental and challenging bioinformatics problem with a variety of real-world applications. The text first surveys a few popular homology detection methods, such as Position-Specific Scoring Matrix (PSSM) and Hidden Markov Model (HMM) based methods, and then describes a novel Markov Random Fields (MRF) based method developed by the authors. MRF-based methods are much more sensitive than HMM- and PSSM-based methods for remote homolog detection and fold recognition, as MRFs can model long-range residue-residue interaction. The text also describes the installation, usage and result interpretation of programs implementing the MRF-based method.