Protein Homology Detection Through Alignment of Markov Random Fields: Using Mrfalign

By Jinbo Xu, Jianzhu Ma, Ma Jianzhu, et al.

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.

• Format: Paperback
• Language: English
• ISBN: 331914913X
• ISBN13: 9783319149134
• Release Date: March 2015
• Publisher: Springer
• Length: 51 Pages
• Weight: 0.21 lbs.
• Dimensions: 0.1" x 6.1" x 9.2"