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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
024 7 _a10.1007/978-3-319-14914-1
_2doi
050 4 _aQH324.2-324.25
072 7 _aPSA
_2bicssc
072 7 _aUB
_2bicssc
072 7 _aCOM014000
_2bisacsh
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.
300 _aVIII, 51 p. 13 illus., 1 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aSpringerBriefs in Computer Science,
_x2191-5768
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