Protein Homology Detection Through Alignment of Markov Random Fields (eBook)

Using MRFalign

Jinbo Xu, Sheng Wang, Jianzhu Ma (Autoren)

eBook Download: PDF

2015 | 2015
VIII, 51 Seiten
Springer International Publishing (Verlag)
978-3-319-14914-1 (ISBN)

Infos

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.

Inhalt

IntroductionMethodSoftwareExperiments and ResultsConclusion

Produkt-Details

• Erscheint lt. Verlag: 22.1.2015
• Reihe/Serie: SpringerBriefs in Computer Science
• Reihe/Serie: SpringerBriefs in Computer Science
• Zusatzinfo: VIII, 51 p. 13 illus., 1 illus. in color.
• Verlagsort: Cham
• Sprache: englisch
• Themenwelt: Mathematik / Informatik ► Informatik
• Themenwelt: Medizin / Pharmazie ► Allgemeines / Lexika
• Themenwelt: Naturwissenschaften ► Biologie
• Themenwelt: Technik
• Schlagworte: Hidden Markov Model • Long-Range Residue Interaction • Markov Random Fields • Position-Specific Scoring Matrix • Protein Homology Detection
• ISBN-10: 3-319-14914-8 / 3319149148
• ISBN-13: 978-3-319-14914-1 / 9783319149141