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Computing Skills for Biologists: A Toolbox

Name: Computing Skills for Biologists: A Toolbox
Brand: Princeton University Press
SKU: 9780691167299
Price: 131.99 USD
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Contributors:

Stefano Allesina, Madlen Wilmes

Publisher:

Princeton University Press

Binding:

Hardcover

Book Category:

Science

Book Subcategory:

Life Sciences, Bioinformatics

Book Topic:

Biology, Ecology

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The product is eligible for a complimentary return within 30 days from the date of purchase. Furthermore, individual items are shipped within 24 hours of receiving the order.

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Release Date:

2019-01-15

ISBN 13:

9780691167299

Weight:

2.7 lbs

Size:

10.10 x 8.20 x 1.30 inches

Pages:

440

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product description

Description

A concise introduction to key computing skills for biologists

While biological data continues to grow exponentially in size and quality, many of today's biologists are not trained adequately in the computing skills necessary for leveraging this information deluge. In Computing Skills for Biologists, Stefano Allesina and Madlen Wilmes present a valuable toolbox for the effective analysis of biological data.

Based on the authors' experiences teaching scientific computing at the University of Chicago, this textbook emphasizes the automation of repetitive tasks and the construction of pipelines for data organization, analysis, visualization, and publication. Stressing practice rather than theory, the book's examples and exercises are drawn from actual biological data and solve cogent problems spanning the entire breadth of biological disciplines, including ecology, genetics, microbiology, and molecular biology. Beginners will benefit from the many examples explained step-by-step, while more seasoned researchers will learn how to combine tools to make biological data analysis robust and reproducible. The book uses free software and code that can be run on any platform.

Computing Skills for Biologists is ideal for scientists wanting to improve their technical skills and instructors looking to teach the main computing tools essential for biology research in the twenty-first century.

Excellent resource for acquiring comprehensive computing skills
Both novice and experienced scientists will increase efficiency by building automated and reproducible pipelines for biological data analysis
Code examples based on published data spanning the breadth of biological disciplines
Detailed solutions provided for exercises in each chapter
Extensive companion website

About the Author
Stefano Allesina is a professor in the Department of Ecology and Evolution at the University of Chicago and a deputy editor of PLoS Computational Biology. Madlen Wilmes is a data scientist and web developer.

Computing Skills for Biologists: A Toolbox

Description

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