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TY  - BOOK
ID  - 4864109
TI  - Protein Homology Detection Through Alignment of Markov Random Fields : Using MRFalign
AU  - Xu, Jinbo.
AU  - Wang, Sheng.
AU  - Ma, Jianzhu.
PY  - 2015
SN  - 9783319149141 331914913X 9783319149134 3319149148
PB  - Cham : Springer International Publishing : Imprint: Springer,
DB  - UniCat
KW  - Computer Science.
KW  - Computational Biology/Bioinformatics.
KW  - Probability and Statistics in Computer Science.
KW  - Bioinformatics.
KW  - Statistics for Life Sciences, Medicine, Health Sciences.
KW  - Computer science.
KW  - Statistics.
KW  - Informatique
KW  - Bio-informatique
KW  - Statistique
KW  - Biology
KW  - Health & Biological Sciences
KW  - Biology - General
KW  - Proteins
KW  - Homology theory.
KW  - Markov random fields.
KW  - Mathematical models.
KW  - Structure
KW  - Fields, Markov random
KW  - Cohomology theory
KW  - Contrahomology theory
KW  - Proteids
KW  - Mathematical statistics.
KW  - Algebraic topology
KW  - Random fields
KW  - Biomolecules
KW  - Polypeptides
KW  - Proteomics
KW  - Informatics
KW  - Science
KW  - Bio-informatics
KW  - Biological informatics
KW  - Information science
KW  - Computational biology
KW  - Systems biology
KW  - Statistical analysis
KW  - Statistical data
KW  - Statistical methods
KW  - Statistical science
KW  - Mathematics
KW  - Econometrics
KW  - Data processing
KW  - Statistics .
KW  - Statistical inference
KW  - Statistics, Mathematical
KW  - Statistics
KW  - Probabilities
KW  - Sampling (Statistics)
UR  - https://www.unicat.be/uniCat?func=search&query=sysid:4864109
AB  - 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.
ER  -