Protein homology detection through alignment of Markov random fields [electronic resource] : using MRFalign / Jinbo Xu, Sheng Wang, Jianzhu Ma.
2015
QA274.45 .X8 2015eb
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Details
Title
Protein homology detection through alignment of Markov random fields [electronic resource] : using MRFalign / Jinbo Xu, Sheng Wang, Jianzhu Ma.
Author
Xu, Jinbo, author.
ISBN
9783319149141 electronic book
3319149148 electronic book
9783319149134
3319149148 electronic book
9783319149134
Published
Cham : Springer, 2015.
Language
English
Description
1 online resource (viii, 51 pages) : illustrations (some color).
Item Number
10.1007/978-3-319-14914-1 doi
Call Number
QA274.45 .X8 2015eb
Dewey Decimal Classification
519.2/3
Summary
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.
Bibliography, etc. Note
Includes bibliographical references.
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Access limited to authorized users.
Source of Description
Online resource; title from PDF title page (SpringerLink, viewed February 4, 2015).
Added Author
Wang, Sheng, author.
Ma, Jianzhu, author.
Ma, Jianzhu, author.
Series
SpringerBriefs in computer science.
Available in Other Form
Print version: 9783319149134
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Table of Contents
Introduction
Method
Software
Experiments and Results
Conclusion.
Method
Software
Experiments and Results
Conclusion.