Protein Homology Detection Through Alignment of Markov Random Fields

Using MRFalign de

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Éditeur :

Springer


Collection :

SpringerBriefs in Computer Science

Paru le : 2015-01-22

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Description
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.
Pages
51 pages
Collection
SpringerBriefs in Computer Science
Parution
2015-01-22
Marque
Springer
EAN papier
9783319149134
EAN EPUB
9783319149141

Informations sur l'ebook
Nombre pages copiables
0
Nombre pages imprimables
5
Taille du fichier
666 Ko
Prix
52,74 €