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Protein homology detection through alignment of Markov random fields [electronic resource] : using MRFalign / Jinbo Xu, Sheng Wang, Jianzhu Ma.

9783319149141 electronic book
3319149148 electronic book
9783319149134

Cham : Springer, 2015.

English

1 online resource (viii, 51 pages) : illustrations (some color).

10.1007/978-3-319-14914-1 doi

QA274.45 .X8 2015eb

519.2/3

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.

Includes bibliographical references.

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Online resource; title from PDF title page (SpringerLink, viewed February 4, 2015).

SpringerBriefs in computer science.

Print version: 9783319149134

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