Xu / Wang / Ma Protein Homology Detection Through Alignment of Markov Random Fields

Using MRFalign
1. Auflage 2015
ISBN: 978-3-319-14914-1
Verlag: Springer International Publishing
Format: PDF
Kopierschutz: 1 - PDF Watermark

E-Book, Englisch, 51 Seiten, eBook

Reihe: SpringerBriefs in Computer Science

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.

Zielgruppe

Research

Autoren/Hrsg.

Xu, Jinbo

Wang, Sheng

Ma, Jianzhu

Inhaltsverzeichnis

Introduction.- Method.- Software.- Experiments and Results.- Conclusion.