Protein Homology Detection Through Alignment of Markov Random Fields 1

Data & IT

Protein Homology Detection Through Alignment of Markov Random Fields

Jinbo Xu • Sheng Wang • Jianzhu Ma

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51 sidor
2015

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.

Författare: Jinbo Xu, Sheng Wang, Jianzhu Ma
Illustratör: 17 schwarz-weiße Tabellen 12 schwarz-weiße und 1 farbige Abbildungen Bibliographie
Format: Pocket/Paperback
ISBN: 9783319149134
Språk: Engelska
Antal sidor: 51
Utgivningsdatum: 2015-03-03
Förlag: Springer International Publishing AG