Protein Homology Detection Through Alignment of Markov Random Fields

Using MRFalign
2015
ISBN: 978-3-319-14913-4
Verlag: Springer International Publishing

Buch, Englisch, 51 Seiten, Paperback, Format (B × H): 155 mm x 235 mm, Gewicht: 1175 g

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

Ma, Jianzhu

Wang, Sheng

Fachgebiete

• Mathematik | Informatik EDV | Informatik Angewandte Informatik Bioinformatik
• Naturwissenschaften Biowissenschaften Angewandte Biologie Bioinformatik

Inhaltsverzeichnis

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