Integer Linear Programming in Computational and Systems Biology
eBook - PDF

Integer Linear Programming in Computational and Systems Biology

An Entry-Level Text and Course

  1. English
  2. PDF
  3. Available on iOS & Android
eBook - PDF

Integer Linear Programming in Computational and Systems Biology

An Entry-Level Text and Course

About this book

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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Yes, you can access Integer Linear Programming in Computational and Systems Biology by Dan Gusfield in PDF and/or ePUB format, as well as other popular books in Computer Science & Bioinformatics. We have over one million books available in our catalogue for you to explore.

Table of contents

  1. Cover
  2. Half-title
  3. Title page
  4. Copyright information
  5. Dedication
  6. Contents
  7. Introduction to the Book and Course
  8. Part I
  9. Part II
  10. Bibliography
  11. Index