000 a
999 _c30550
_d30550
008 211203b xxu||||| |||| 00| 0 eng d
020 _a9781108421768
082 _a570.285
_bGUS
100 _aGusfield, Dan
245 _aInteger linear programming in computational and systems biology : an entry-level text and course
260 _bCambridge University Press,
_c2019
_aCambridge :
300 _axviii, 412 p. ;
_bill.,
_c26 cm
365 _b49.99
_cGBP
_d107.10
504 _aIncludes bibliographical references and index.
520 _aInteger linear programming (ILP) is a versatile modeling and optimization technique that is increasingly used in non-traditional ways in biology, with the potential to transform biological computation. However, few biologists know about it. This how-to and why-do text introduces ILP through the lens of computational and systems biology. It uses in-depth examples from genomics, phylogenetics, RNA, protein folding, network analysis, cancer, ecology, co-evolution, DNA sequencing, sequence analysis, pedigree and sibling inference, haplotyping, and more, to establish the power of ILP. This book aims to teach the logic of modeling and solving problems with ILP, and to teach the practical 'work flow' involved in using ILP in biology. Written for a wide audience, with no biological or computational prerequisites, this book is appropriate for entry-level and advanced courses aimed at biological and computational students, and as a source for specialists. Numerous exercises and accompanying software (in Python and Perl) demonstrate the concepts.
650 _aComputational biology
650 _aMathematical models
650 _aSystems biology
650 _aLinear programming
650 _aAllele
650 _a Arborescence
650 _a Assignment,ILP
650 _a Bipartite graph
650 _a Cancer
650 _aCommunity detection
650 _aFeasible solution
650 _a Genotype
650 _a Haplotype
650 _aPure parsimony
650 _aHigh-density subgraph
650 _aLP solvers
650 _a Marker ordering
650 _aMCR problem
650 _a Alternative definition
650 _a PPI network
650 _aSNP
650 _a Tanglegram
650 _a Yeast PPI network
650 _a Metabolic engineering
650 _aPhylogeny
650 _aDriver genes
942 _2ddc
_cBK