Protein homology detection through alignment of Markov random fields : using MRFalign /

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Bibliographic Details
Author / Creator:Xu, Jinbo, author.
Imprint:Cham : Springer, 2015.
Description:1 online resource (viii, 51 pages) : illustrations (some color).
Language:English
Series:SpringerBriefs in Computer Science, 2191-5768
SpringerBriefs in computer science.
Subject:
Format: E-Resource Book
URL for this record:http://pi.lib.uchicago.edu/1001/cat/bib/11091395
Hidden Bibliographic Details
Other authors / contributors:Wang, Sheng, author.
Ma, Jianzhu, author.
ISBN:9783319149141
3319149148
331914913X
9783319149134
9783319149134
Notes:Includes bibliographical references.
Online resource; title from PDF title page (SpringerLink, viewed February 4, 2015).
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.
Other form:Printed edition: 9783319149134
Standard no.:10.1007/978-3-319-14914-1