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Computing Skills for Biologists : A Toolbox / Madlen Wilmes, Stefano Allesina.

De Gruyter Princeton University Press Complete eBook-Package 2019 Available

View online

Format:
Book
Author/Creator:
Allesina, Stefano, Author.
Wilmes, Madlen, Author.
Language:
English
Subjects (All):
Biology--Data processing.
Biology.
Biology--Computer programs.
Physical Description:
1 online resource (418 pages)
Place of Publication:
Princeton, NJ : Princeton University Press, [2019]
Language Note:
In English.
Summary:
A concise introduction to key computing skills for biologistsWhile 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 skillsBoth novice and experienced scientists will increase efficiency by building automated and reproducible pipelines for biological data analysisCode examples based on published data spanning the breadth of biological disciplinesDetailed solutions provided for exercises in each chapterExtensive companion website
Contents:
Frontmatter
Summary of Contents
Contents
Figures
Acknowledgments
0. Introduction: Building a Computing Toolbox
1. Unix
2. Version Control
3. Basic Programming
4. Writing Good Code
5. Regular Expressions
6. Scientific Computing
7. Scientific Typesetting
8. Statistical Computing
9. Data Wrangling and Visualization
10. Relational Databases
11. Wrapping Up
Intermezzo Solutions
Bibliography
Indexes
Notes:
Description based on online resource; title from PDF title page (publisher's Web site, viewed 06. Apr 2020)
ISBN:
9780691183961
0691183961
OCLC:
1078912598

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