000 | 02682nam a22005415i 4500 | ||
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001 | 978-3-319-14914-1 | ||
003 | DE-He213 | ||
005 | 20200421112226.0 | ||
007 | cr nn 008mamaa | ||
008 | 150122s2015 gw | s |||| 0|eng d | ||
020 |
_a9783319149141 _9978-3-319-14914-1 |
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024 | 7 |
_a10.1007/978-3-319-14914-1 _2doi |
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050 | 4 | _aQH324.2-324.25 | |
072 | 7 |
_aPSA _2bicssc |
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072 | 7 |
_aUB _2bicssc |
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072 | 7 |
_aCOM014000 _2bisacsh |
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082 | 0 | 4 |
_a570.285 _223 |
100 | 1 |
_aXu, Jinbo. _eauthor. |
|
245 | 1 | 0 |
_aProtein Homology Detection Through Alignment of Markov Random Fields _h[electronic resource] : _bUsing MRFalign / _cby Jinbo Xu, Sheng Wang, Jianzhu Ma. |
264 | 1 |
_aCham : _bSpringer International Publishing : _bImprint: Springer, _c2015. |
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300 |
_aVIII, 51 p. 13 illus., 1 illus. in color. _bonline resource. |
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336 |
_atext _btxt _2rdacontent |
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337 |
_acomputer _bc _2rdamedia |
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338 |
_aonline resource _bcr _2rdacarrier |
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347 |
_atext file _bPDF _2rda |
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490 | 1 |
_aSpringerBriefs in Computer Science, _x2191-5768 |
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505 | 0 | _aIntroduction -- Method -- Software -- Experiments and Results -- Conclusion. | |
520 | _aThis 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. | ||
650 | 0 | _aComputer science. | |
650 | 0 | _aMathematical statistics. | |
650 | 0 | _aBioinformatics. | |
650 | 0 | _aStatistics. | |
650 | 1 | 4 | _aComputer Science. |
650 | 2 | 4 | _aComputational Biology/Bioinformatics. |
650 | 2 | 4 | _aProbability and Statistics in Computer Science. |
650 | 2 | 4 | _aBioinformatics. |
650 | 2 | 4 | _aStatistics for Life Sciences, Medicine, Health Sciences. |
700 | 1 |
_aWang, Sheng. _eauthor. |
|
700 | 1 |
_aMa, Jianzhu. _eauthor. |
|
710 | 2 | _aSpringerLink (Online service) | |
773 | 0 | _tSpringer eBooks | |
776 | 0 | 8 |
_iPrinted edition: _z9783319149134 |
830 | 0 |
_aSpringerBriefs in Computer Science, _x2191-5768 |
|
856 | 4 | 0 | _uhttp://dx.doi.org/10.1007/978-3-319-14914-1 |
912 | _aZDB-2-SCS | ||
942 | _cEBK | ||
999 |
_c57687 _d57687 |