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Protein Homology Detection Through Alignment of Markov Random Fields: Using MRFalign (SpringerBriefs in Computer Science) - Softcover

Buch 170 von 322: SpringerBriefs in Computer Science

Xu, Jinbo

 
9783319149134: Protein Homology Detection Through Alignment of Markov Random Fields: Using MRFalign (SpringerBriefs in Computer Science)
Softcover
ISBN 10: 331914913X ISBN 13: 9783319149134
Verlag: Springer, 2015

Inhaltsangabe

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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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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Verlag
Springer
Erscheinungsdatum
2015
Sprache
Englisch
ISBN 10 
331914913X
ISBN 13 
9783319149134
Einband
Taschenbuch
Anzahl der Seiten
60
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