Erschienen: 03.03.2015 Abbildung von Xu / Wang / Ma | Protein Homology Detection Through Alignment of Markov Random Fields | 2015 | 2015 | Using MRFalign

Xu / Wang / Ma

Protein Homology Detection Through Alignment of Markov Random Fields

Using MRFalign

2015 2015. Buch. viii, 51 S. 12 s/w-Abbildungen, 1 Farbabbildung, 17 s/w-Tabelle, Bibliographien. Softcover

Springer. ISBN 978-3-319-14913-4

Format (B x L): 15,5 x 23,5 cm

Gewicht: 135 g

In englischer Sprache

Das Werk ist Teil der Reihe: SpringerBriefs in Computer Science

Produktbeschreibung

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.

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