Xu, Jinbo. <br/><br/>
Protein Homology Detection Through Alignment of Markov Random Fields  Using MRFalign /  [electronic resource] : 
by Jinbo Xu, Sheng Wang, Jianzhu Ma. 
 - VIII, 51 p. 13 illus., 1 illus. in color.  online resource. 
 - SpringerBriefs in Computer Science,  2191-5768 .
 - SpringerBriefs in Computer Science, .
<br/><br/>Introduction -- Method -- Software -- Experiments and Results -- Conclusion. 
<br/><br/> 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. 
<br/><br/><label>ISBN: </label>9783319149141 
<br/><br/><label>Standard No.: </label>10.1007/978-3-319-14914-1  doi 
<br/><br/><label>Subjects--Topical Terms: </label><br/>Computer science.<br/>Mathematical statistics.<br/>Bioinformatics.<br/>Statistics.<br/>Computer Science.<br/>Computational Biology/Bioinformatics.<br/>Probability and Statistics in Computer Science.<br/>Bioinformatics.<br/>Statistics for Life Sciences, Medicine, Health Sciences.
<br/><br/><label>LC Class. No.: </label>QH324.2-324.25 
<br/><br/><label>Dewey Class. No.: </label>570.285