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100   $a20100114d2010      uy         0
101 0 $aeng
135   $aur|n|---|||||
181   $ctxt
182   $cc
183   $acr
200 00$aDiscrete optimization for TSP-like genome mapping problems /$fD. Mester ... [et al.]
205   $a1st ed.
210   $aNew York $cNova Science Publishers, Inc.$dc2010
215   $a1 online resource (74 p.)
225 1 $aGenetics--research and issues
225 1 $aNovinka
300   $a"Nova biomedical"--cover.
311 08$a1-61668-170-5 
320   $aIncludes bibliographical references (p. [53]-58) and index.
327   $aGuided evolution strategy algorithm for classic TSP as a basis for solving the genetic/genomic TSP-like problems -- Multilocus genetic mapping -- Multilocus consensus genetic mapping : formulation, model and algorithms -- TSP-like problem in physical mapping (PMP).
330   $aThis book introduces a discrete optimization technique in four applications: classic Traveler Salesperson Problem (TSP), Multilocus Genetic Mapping, Multilocus Consensus Genetic Mapping, and Physical Mapping. Each of the four sections contains the problem formulation, description of the algorithm, and experimental results. The foregoing problems are solved on the basis of Guided Evolution Strategy (GES) algorithm. The algorithm was implemented in MultiPoint package (http: //multiqtl.com). The developed analytical tools were applied in many genome mapping projects.
410  0$aGenetics--research and issues series.
410  0$aNovinka (Series)
606   $aGene mapping$xMathematical models
606   $aMathematical optimization
615  0$aGene mapping$xMathematical models.
615  0$aMathematical optimization.
676   $a572.8/633
701   $aMester$b D$g(David)$01866189
801  0$bMiAaPQ
801  1$bMiAaPQ
801  2$bMiAaPQ
906   $aBOOK
912   $a9910959755203321
996   $aDiscrete optimization for TSP-like genome mapping problems$94473541
997   $aUNINA