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| fixed length control field |
a |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
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| fixed length control field |
211203b xxu||||| |||| 00| 0 eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
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| International Standard Book Number |
9781108421768 |
| 082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER |
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| Classification number |
570.285 |
| Item number |
GUS |
| 100 ## - MAIN ENTRY--PERSONAL NAME |
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| Personal name |
Gusfield, Dan |
| 245 ## - TITLE STATEMENT |
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| Title |
Integer linear programming in computational and systems biology : an entry-level text and course |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) |
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| Name of publisher, distributor, etc |
Cambridge University Press, |
| Date of publication, distribution, etc |
2019 |
| Place of publication, distribution, etc |
Cambridge : |
| 300 ## - PHYSICAL DESCRIPTION |
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| Extent |
xviii, 412 p. ; |
| Other physical details |
ill., |
| Dimensions |
26 cm |
| 365 ## - TRADE PRICE |
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| Price amount |
49.99 |
| Price type code |
GBP |
| Unit of pricing |
107.10 |
| 504 ## - BIBLIOGRAPHY, ETC. NOTE |
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| Bibliography, etc |
Includes bibliographical references and index. |
| 520 ## - SUMMARY, ETC. |
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| Summary, etc |
Integer 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 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
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| Topical term or geographic name as entry element |
Computational biology |
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Mathematical models |
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Systems biology |
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Linear programming |
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Allele |
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Arborescence |
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Assignment,ILP |
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Bipartite graph |
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Cancer |
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Community detection |
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Feasible solution |
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Genotype |
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Haplotype |
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Pure parsimony |
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| Topical term or geographic name as entry element |
High-density subgraph |
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| Topical term or geographic name as entry element |
LP solvers |
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Marker ordering |
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| Topical term or geographic name as entry element |
MCR problem |
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Alternative definition |
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PPI network |
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SNP |
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Tanglegram |
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Yeast PPI network |
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Metabolic engineering |
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Phylogeny |
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| Topical term or geographic name as entry element |
Driver genes |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) |
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| Source of classification or shelving scheme |
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| Item type |
Books |