| Author(s) | Stefano Allesina, Madlen Wilmes |
 | Year | 2019
|
 | Pages | 441 |
 | Language | English |
 | Format | PDF |
 | Size | 5 MB
|
 | Publisher | Princeton University Press |
 | ISBN | 0691182752, 978-0691182759 |
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
