Protein Homology Detection Through Alignment of Markov Random Fields
Using MRFalign
1st Edition
Published on 22. January 2015
VIII, 51 pages
978-3-319-14914-1 (ISBN)
Description
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.
More details
Series
Language
English
Place of publication
Cham
Switzerland
Publishing group
Springer International Publishing
Target group
Professional and scholarly
Product notice
Reflowable
Illustrations
VIII, 51 p. 13 illus., 1 illus. in color.
File size
2,77 MB
ISBN-13
978-3-319-14914-1 (9783319149141)
Schweitzer Classification
Other editions
Additional editions
Jinbo Xu | Sheng Wang | Jianzhu Ma
Protein Homology Detection Through Alignment of Markov Random Fields
Using MRFalign
Book
03/2015
Springer
€53.49
Shipment within 10-15 days
Content
Introduction.- Method.- Software.- Experiments and Results.- Conclusion.
