Protein Homology Detection Through Alignment of Markov Random Fields

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.

• ISBN: 978-3-319-14913-4
• Editorial: Springer
• Encuadernacion: Rústica
• Fecha Publicación: 03/03/2015
• Nº Volúmenes: 1
• Idioma: Inglés