TY  - BOOK
AU  - Xu,Jinbo
AU  - Wang,Sheng
AU  - Ma,Jianzhu
ED  - SpringerLink (Online service)
TI  - Protein Homology Detection Through Alignment of Markov Random Fields: Using MRFalign 
T2  - SpringerBriefs in Computer Science,
SN  - 9783319149141
AV  - QH324.2-324.25 
PY  - 2015///
CY  - Cham
PB  - Springer International Publishing, Imprint: Springer
KW  - Bioinformatics
KW  - Computer science
KW  - Statistics
KW  - Computational Biology/Bioinformatics
KW  - Probability and Statistics in Computer Science
KW  - Statistics for Life Sciences, Medicine, Health Sciences
N1  - Introduction -- Method -- Software -- Experiments and Results -- Conclusion
N2  - 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
UR  - https://doi.org/10.1007/978-3-319-14914-1
ER  -