Protein Homology Detection Through Alignment of Markov Random Fields

Using MRFalign

Autori

• Jinbo Xu

Parametri

• 60 pagine
• 3 ore di lettura

• Computer, IT, programmazione
• Tecnologia e Ingegneria

Maggiori informazioni sul libro

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.

Lingua: Inglese

Pubblicato: 2015

(In brossura)