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02681nam a22005295i 4500 |
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978-3-319-14914-1 |
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DE-He213 |
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20151029221140.0 |
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150122s2015 gw | s |||| 0|eng d |
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|a 9783319149141
|9 978-3-319-14914-1
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|a 10.1007/978-3-319-14914-1
|2 doi
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|d GrThAP
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|a QH324.2-324.25
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|a PSA
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|a 570.285
|2 23
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|a Xu, Jinbo.
|e author.
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|a Protein Homology Detection Through Alignment of Markov Random Fields
|h [electronic resource] :
|b Using MRFalign /
|c by Jinbo Xu, Sheng Wang, Jianzhu Ma.
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|a Cham :
|b Springer International Publishing :
|b Imprint: Springer,
|c 2015.
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|a VIII, 51 p. 13 illus., 1 illus. in color.
|b online resource.
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|a text
|b txt
|2 rdacontent
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|a computer
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|2 rdamedia
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|a online resource
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|a text file
|b PDF
|2 rda
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|a SpringerBriefs in Computer Science,
|x 2191-5768
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|a Introduction -- Method -- Software -- Experiments and Results -- Conclusion.
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|a 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.
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|a Computer science.
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|a Mathematical statistics.
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|a Bioinformatics.
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|a Statistics.
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|a Computer Science.
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|a Computational Biology/Bioinformatics.
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|a Probability and Statistics in Computer Science.
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| 650 |
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|a Bioinformatics.
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| 650 |
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|a Statistics for Life Sciences, Medicine, Health Sciences.
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| 700 |
1 |
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|a Wang, Sheng.
|e author.
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| 700 |
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|a Ma, Jianzhu.
|e author.
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|a SpringerLink (Online service)
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|t Springer eBooks
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|i Printed edition:
|z 9783319149134
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| 830 |
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|a SpringerBriefs in Computer Science,
|x 2191-5768
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| 856 |
4 |
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|u http://dx.doi.org/10.1007/978-3-319-14914-1
|z Full Text via HEAL-Link
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| 912 |
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|a ZDB-2-SCS
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| 950 |
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|a Computer Science (Springer-11645)
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