MARC Record from harvard_bibliographic_metadata

LEADER: 05204cam a2200505Ii 4500
001 013924031-4
005 20140314191553.0
006 m o d
008 131125t20142014nyua ob 001 0 eng d
020 $a9781627036467 (electronic bk.)
020 $a1627036466 (electronic bk.)
020 $z9781627036450 (print)
024 7 $a10.1007/978-1-62703-646-7$2doi
035 0 $aocn864024440
040 $aGW5XE$beng$erda$epn$cGW5XE$dOHS$dFTU
050 4 $aQH324.2$b.M856 2014
050 4 $aQH441.2$b.M856 2014
072 7 $aPSD$2bicssc
072 7 $aUB$2bicssc
072 7 $aSCI056000$2bisacsh
082 04 $a570.285$223
245 00 $aMultiple sequence alignment methods /$cedited by David J. Russell, Department of Electrical Engineering, University of Nebraska-Lincoln, Lincoln, NE, USA.
264 1 $aNew York ;$aHeidelberg ;$aDordrecht ;$aLondon :$bHumana Press,$c[2014]
264 4 $c©2014
300 $a1 online resource (xii, 287 pages) :$billustrations (some color).
336 $atext$btxt$2rdacontent
337 $acomputer$bc$2rdamedia
338 $aonline resource$bcr$2rdacarrier
490 1 $aMethods in Molecular Biology,$x1940-6029 ;$vVolume No. 1079
504 $aIncludes bibliographical references and index.
505 00 $gPart I.$tTheory --$tDynamic programming /$rÖ. Ufuk Nalbantoğlu --$tHeuristic alignment methods /$rOsamu Gotoh --$tObjective functions /$rHaluk Doğan and Hasan H. Otu --$tWho watches the watchmen? An appraisal of benchmarks for multiple sequence alignment /$rStefano Iantorno, Kevin Gori, Nick Goldman, Manuel Gil, and Christophe Dessimoz --$tBLAST and FASTA similarity searching for multiple sequence alignment /$rWilliam R. Pearson.
505 80 $gPart I.$tAlignment Techniques --$tClustal omega, accurate alignment of very large numbers of sequences /$rFabian Sievers and Desmond G. Higgins --$tT-coffee : tree-based consistency objective function for alignment evaluation /$rCedrik Magis, Jean-François Taly, Giovanni Bussotti, Jia-Ming Chang, Paolo Di Tommaso, Ionas Erb, José Espinosa-Carrasco, and Cedric Notredame --$tMAFFT : iterative refinement and additional methods /$rKazutaka Katoh and Daron M. Standley --$tMultiple sequence alignment using probcons and probalign /$rUsman Roshan --$tPhylogeny-aware alignment with PRANK /$rAri Löytynoja --$tGramAlign : fast alignment driven by grammar-based phylogeny /$rDavid J. Russell --$tMultiple sequence alignment with DIALIGN /$rBurkhard Morgenstern --$tPicXAA : a probabilistic scheme for finding the maximum expected accuracy alignment of multiple biological sequences /$rSayed Mohammad Ebrahim Sahraeian and Byung-Jun Yoon --$tMultiple protein sequence alignment with MSAProbs /$rYongchao Liu and Bertil Schmidt --$tLarge-scale multiple sequence alignment and tree estimation using SATé /$rKevin Liu and Tandy Warnow --$tPRALINE : a versatile multiple sequence alignment toolkit /$rPunto Bawono and Jaap Heringa --$tPROMALS3D : multiple protein sequence alignment enhanced with evolutionary and three-dimensional structural information /$rJimin Pei and Nick V. Grishin --$tMSACompro : improving multiple protein sequence alignment by predicted structural features /$rXin Deng and Jianlin Cheng.
520 $a"From basic performing of sequence alignment through a proficiency at understanding how most industry-standard alignment algorithms achieve their results, Multiple Sequence Alignment Methods describes numerous algorithms and their nuances in chapters written by the experts who developed these algorithms. The various multiple sequence alignment algorithms presented in this handbook give a flavor of the broad range of choices available for multiple sequence alignment generation, and their diversity is a clear reflection of the complexity of the multiple sequence alignment problem and the amount of information that can be obtained from multiple sequence alignments. Each of these chapters not only describes the algorithm it covers but also presents instructions and tips on using their implementation, as is fitting with its inclusion in the highly successful Methods in Molecular Biology series. Authoritative and practical, Multiple Sequence Alignment Methods provides a readily available resource which will allow practitioners to experiment with different algorithms and find the particular algorithm that is of most use in their application."--Publisher's description.
588 $aDescription based on online resource; title from PDF title page (Springer Protocols, viewed January 30, 2014).
650 20 $aBioinformatics.
650 10 $aLife sciences.
650 0 $aSequence alignment (Bioinformatics)$vLaboratory manuals.
650 0 $aComputational biology$vLaboratory manuals.
650 2 $aSequence Alignment$vLaboratory Manuals.
650 2 $aComputational Biology$vLaboratory Manuals.
700 1 $aRussell, David James,$eeditor of compilation.$4edc
776 08 $iPrint version:$tMultiple sequence alignment methods.$dNew York : Humana Press ; Springer, c2014$z1627036458$w(DLC) 2013947475$w(OCoLC)847126040
830 0 $aMethods in molecular biology (Clifton, N.J.) ;$v1079.$x1064-3745
988 $a20140204
906 $0OCLC