Protein Homology Detection Through Alignment of Markov Random Fields

Using MRFalign

Jinbo Xu, Sheng Wang, Jianzhu Ma (Autoren)

Buch | Softcover

VIII, 51 Seiten

2015 | 2015
Springer International Publishing (Verlag)
978-3-319-14913-4 (ISBN)

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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.

Introduction.- Method.- Software.- Experiments and Results.- Conclusion.

Erscheint lt. Verlag	3.3.2015
Reihe/Serie	SpringerBriefs in Computer Science
Zusatzinfo	VIII, 51 p. 13 illus., 1 illus. in color.
Verlagsort	Cham
Sprache	englisch
Maße	155 x 235 mm
Gewicht	106 g
Themenwelt	Mathematik / Informatik ► Informatik ► Theorie / Studium
	Informatik ► Weitere Themen ► Bioinformatik
	Mathematik / Informatik ► Mathematik
	Naturwissenschaften ► Biologie
Schlagworte	Hidden Markov Model • Long-Range Residue Interaction • Markov Random Fields • Position-Specific Scoring Matrix • Protein Homology Detection
ISBN-10	3-319-14913-X / 331914913X
ISBN-13	978-3-319-14913-4 / 9783319149134
Zustand	Neuware