9781108421768-1108421768-Integer Linear Programming in Computational and Systems Biology (An Entry-Level Text and Course)

Integer Linear Programming in Computational and Systems Biology (An Entry-Level Text and Course)

ISBN-13: 9781108421768
ISBN-10: 1108421768
Edition: 1
Author: Gusfield, Dan
Publication date: 2019
Publisher: Cambridge University Press
Format: Hardcover 428 pages
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Book details

ISBN-13: 9781108421768
ISBN-10: 1108421768
Edition: 1
Author: Gusfield, Dan
Publication date: 2019
Publisher: Cambridge University Press
Format: Hardcover 428 pages

Summary

Acknowledged authors Gusfield, Dan wrote Integer Linear Programming in Computational and Systems Biology (An Entry-Level Text and Course) comprising 428 pages back in 2019. Textbook and eTextbook are published under ISBN 1108421768 and 9781108421768. Since then Integer Linear Programming in Computational and Systems Biology (An Entry-Level Text and Course) textbook was available to sell back to BooksRun online for the top buyback price or rent at the marketplace.

Description

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.

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