Computing skills for biologists: a toolbox

By:

Allesina, Stefano

Contributor(s):

Wilmes, Madlen [Co-author]

Publication details: Princeton: Princeton University Press, 2019.Description: xxii, 417p.: pbk.: 26 cmISBN:

9780691182759

Subject(s):

DDC classification:

570.285 ALL

Summary: 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. https://press.princeton.edu/books/paperback/9780691182759/computing-skills-for-biologists

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Holdings
Item type	Current library	Collection	Call number	Copy number	Status	Barcode
Books	IIT Gandhinagar	General	570.285 ALL (Browse shelf(Opens below))	1	Available	036314

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Previous	570.15195 ZAR Biostatistical analysis, 5th ed.	570.28 MER Introduction to optical microscopy	570.282 PER Methods in cellular imaging	570.285 ALL Computing skills for biologists: a toolbox	570.285 BON Biomolecular simulations: methods and protocols	570.285 CHE Biological data mining	570.4922 MAN Women in the wild: stories of India's most brilliant women wildlife biologists	Next

Includes Bibliography and Indices.

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.

https://press.princeton.edu/books/paperback/9780691182759/computing-skills-for-biologists

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