Computing for Biologists: Python Programming And Principles - Tapa blanda

Libeskind-Hadas, Ran

 
9781107642188: Computing for Biologists: Python Programming And Principles
Tapa blanda
ISBN 10: 1107642183 ISBN 13: 9781107642188
Editorial: Cambridge University Press, 2014

Sinopsis

Computing is revolutionizing the practice of biology. This book, which assumes no prior computing experience, provides students with the tools to write their own Python programs and to understand fundamental concepts in computational biology and bioinformatics. Each major part of the book begins with a compelling biological question, followed by the algorithmic ideas and programming tools necessary to explore it: the origins of pathogenicity are examined using gene finding, the evolutionary history of sex determination systems is studied using sequence alignment, and the origin of modern humans is addressed using phylogenetic methods. In addition to providing general programming skills, this book explores the design of efficient algorithms, simulation, NP-hardness, and the maximum likelihood method, among other key concepts and methods. Easy-to-read and designed to equip students with the skills to write programs for solving a range of biological problems, the book is accompanied by numerous programming exercises, available at www.cs.hmc.edu/CFB.

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Acerca de los autores

Ran Libeskind-Hadas is the R. Michael Shanahan Professor of Computer Science at Harvey Mudd College, USA, working in the areas of algorithms and computational biology. He is a recipient of both the Iris and Howard Critchell Professorship and the Joseph B. Platt Professorship for teaching, as well as the Distinguished Alumni Educator Award from the University of Illinois, Urbana-Champaign Department of Computer Science.

Eliot Bush is Associate Professor of Biology at Harvey Mudd College, USA. His main research interest is the study of evolution. Among other things he has modeled the evolution of metabolism, characterized DNA methylation patterns in insects, developed algorithms for studying substitution bias in DNA, and analyzed a 30-million-year-old primate fossil. His teaching interests focus on incorporating computers and programming assignments into biology coursework.

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Editorial
Cambridge University Press
Año de publicación
2014
Idioma
Inglés
ISBN 10 
1107642183
ISBN 13 
9781107642188
Encuadernación
Tapa blanda
Número de páginas
218
Contacto del fabricante
no disponible
Persona responsable
Avery
https://www.avery.fr/

chemin des peupliers 27
Dardilly
Francia

Otras ediciones populares con el mismo título

9781107042827: Computing for Biologists: Python Programming and Principles

Edición Destacada

ISBN 10:  1107042828 ISBN 13:  9781107042827
Editorial: Cambridge University Press, 2014
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