The Resource Computing skills for biologists : a toolbox, Stefano Allesina & Madlen Wilmes
Computing skills for biologists : a toolbox, Stefano Allesina & Madlen Wilmes
Resource Information
The item Computing skills for biologists : a toolbox, Stefano Allesina & Madlen Wilmes represents a specific, individual, material embodiment of a distinct intellectual or artistic creation found in University of Missouri Libraries.This item is available to borrow from 1 library branch.
Resource Information
The item Computing skills for biologists : a toolbox, Stefano Allesina & Madlen Wilmes represents a specific, individual, material embodiment of a distinct intellectual or artistic creation found in University of Missouri Libraries.
This item is available to borrow from 1 library branch.
- Summary
- 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
- Language
- eng
- Extent
- xxii, 417 pages
- Contents
-
- Introduction
- Unix
- Version control
- Basic programming
- Writing good code
- Regular expressions
- Scientific computing
- Scientific typesetting
- Statistical computing
- Data wrangling and visualization
- Relational databases
- Wrapping up
- Isbn
- 9780691167299
- Label
- Computing skills for biologists : a toolbox
- Title
- Computing skills for biologists
- Title remainder
- a toolbox
- Statement of responsibility
- Stefano Allesina & Madlen Wilmes
- Language
- eng
- Summary
- 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
- Cataloging source
- TOH
- http://library.link/vocab/creatorName
- Allesina, Stefano
- Dewey number
- 570.285
- Illustrations
- illustrations
- Index
- index present
- LC call number
- QH324.2
- LC item number
- .A45 2019
- Literary form
- non fiction
- Nature of contents
- bibliography
- http://library.link/vocab/relatedWorkOrContributorName
- Wilmes, Madlen
- http://library.link/vocab/subjectName
-
- Biology
- Biology
- Biologie
- Informatik
- Biology
- Biology
- Label
- Computing skills for biologists : a toolbox, Stefano Allesina & Madlen Wilmes
- Bibliography note
- Includes bibliographical references (pages 389-391) and indexes
- Carrier category
- volume
- Carrier category code
-
- nc
- Carrier MARC source
- rdacarrier
- Content category
- text
- Content type code
-
- txt
- Content type MARC source
- rdacontent
- Contents
- Introduction -- Unix -- Version control -- Basic programming -- Writing good code -- Regular expressions -- Scientific computing -- Scientific typesetting -- Statistical computing -- Data wrangling and visualization -- Relational databases -- Wrapping up
- Control code
- 1084436621
- Dimensions
- 26 x 21 cm
- Extent
- xxii, 417 pages
- Isbn
- 9780691167299
- Lccn
- 2018935166
- Media category
- unmediated
- Media MARC source
- rdamedia
- Media type code
-
- n
- Other physical details
- illustrations
- System control number
- (OCoLC)1084436621
- Label
- Computing skills for biologists : a toolbox, Stefano Allesina & Madlen Wilmes
- Bibliography note
- Includes bibliographical references (pages 389-391) and indexes
- Carrier category
- volume
- Carrier category code
-
- nc
- Carrier MARC source
- rdacarrier
- Content category
- text
- Content type code
-
- txt
- Content type MARC source
- rdacontent
- Contents
- Introduction -- Unix -- Version control -- Basic programming -- Writing good code -- Regular expressions -- Scientific computing -- Scientific typesetting -- Statistical computing -- Data wrangling and visualization -- Relational databases -- Wrapping up
- Control code
- 1084436621
- Dimensions
- 26 x 21 cm
- Extent
- xxii, 417 pages
- Isbn
- 9780691167299
- Lccn
- 2018935166
- Media category
- unmediated
- Media MARC source
- rdamedia
- Media type code
-
- n
- Other physical details
- illustrations
- System control number
- (OCoLC)1084436621
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<div class="citation" vocab="http://schema.org/"><i class="fa fa-external-link-square fa-fw"></i> Data from <span resource="http://link.library.missouri.edu/portal/Computing-skills-for-biologists--a-toolbox/f4nev407dHQ/" typeof="Book http://bibfra.me/vocab/lite/Item"><span property="name http://bibfra.me/vocab/lite/label"><a href="http://link.library.missouri.edu/portal/Computing-skills-for-biologists--a-toolbox/f4nev407dHQ/">Computing skills for biologists : a toolbox, Stefano Allesina & Madlen Wilmes</a></span> - <span property="potentialAction" typeOf="OrganizeAction"><span property="agent" typeof="LibrarySystem http://library.link/vocab/LibrarySystem" resource="http://link.library.missouri.edu/"><span property="name http://bibfra.me/vocab/lite/label"><a property="url" href="http://link.library.missouri.edu/">University of Missouri Libraries</a></span></span></span></span></div>
