000 03177nam a22005655i 4500
001 978-3-642-16181-0
003 DE-He213
005 20160624102150.0
007 cr nn 008mamaa
008 101013s2010 gw | s |||| 0|eng d
020 _a9783642161810
_9978-3-642-16181-0
024 7 _a10.1007/978-3-642-16181-0
_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
245 1 0 _aComparative Genomics
_h[electronic resource] :
_bInternational Workshop, RECOMB-CG 2010, Ottawa, Canada, October 9-11, 2010. Proceedings /
_cedited by Eric Tannier.
260 1 _aBerlin, Heidelberg :
_bSpringer Berlin Heidelberg,
_c2010.
264 1 _aBerlin, Heidelberg :
_bSpringer Berlin Heidelberg,
_c2010.
300 _aXII, 303p.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aLecture Notes in Computer Science,
_x0302-9743 ;
_v6398
520 _aThe complexity of genome evolution has given birth to exciting challenges for computational biologists. A various range of algorithmic, statistical, mathem- ical techniques to elucidate the histories of molecules are developed each year and many are presented at the RECOMB satellite workshop on Comparative Genomics. It is a place where scientists working on all aspects of comparative genomics can share ideas on the development of tools and their application to relevant questions. This volume contains the papers presented at RECOMB-CG 2010, held on October 9–11 in Ottawa. The ?eld is still ?ourishing as seen from the papers presented this year: many developments enrich the combinatorics of genome rearrangements, while gene order phylogenies are becoming more and more - curate, thanks to a mixing of combinatorial and statistical principles, associated with rapid and thoughtful heuristics. Several papers tend to re?ne the models of genome evolution, and more and more genomic events can be modeled, from single nucleotide substitutions in whole genome alignments to large structural mutations or horizontal gene transfers.
650 0 _aComputer science.
650 0 _aComputer software.
650 0 _aComputational complexity.
650 0 _aAlgebra
_xData processing.
650 0 _aBioinformatics.
650 0 _aBiology
_xData processing.
650 1 4 _aComputer Science.
650 2 4 _aComputational Biology/Bioinformatics.
650 2 4 _aComputer Appl. in Life Sciences.
650 2 4 _aBioinformatics.
650 2 4 _aSymbolic and Algebraic Manipulation.
650 2 4 _aDiscrete Mathematics in Computer Science.
650 2 4 _aAlgorithm Analysis and Problem Complexity.
700 1 _aTannier, Eric.
_eeditor.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9783642161803
786 _dSpringer
830 0 _aLecture Notes in Computer Science,
_x0302-9743 ;
_v6398
856 4 0 _uhttp://dx.doi.org/10.1007/978-3-642-16181-0
942 _2EBK9349
_cEBK
999 _c38643
_d38643