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)

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.

Die Inhaltsangabe kann sich auf eine andere Ausgabe dieses Titels beziehen.

Von der hinteren Coverseite

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.

„Über diesen Titel“ kann sich auf eine andere Ausgabe dieses Titels beziehen.

Weitere beliebte Ausgaben desselben Titels

9783319149158: Protein Homology Detection Through Alignment of Markov Random Fields: Using MRFalign

Vorgestellte Ausgabe

ISBN 10:  3319149156 ISBN 13:  9783319149158
Verlag: Springer, 2015
Softcover