Home » Computing Skills for Biologists
Product Image

Computing Skills for Biologists

Stefano Allesina | Madlen Wilmes
€62.99
Quantity:
Ships in 10-20 days
Delivery/Collection within 10-20 working days
Shipping & Delivery
A01=Madlen Wilmes
A01=Stefano Allesina
Accession number (bioinformatics)
Age Group_Uncategorized
Age Group_Uncategorized
Application programming interface
Assertion (software development)
Atex (software)
Author_Madlen Wilmes
Author_Stefano Allesina
automatic-update
Bash (Unix shell)
Bioconductor
Biological database
Biologist
Biopython
Category1=Non-Fiction
Category=PS
Category=PST
Category=PSV
Category=UB
Category=UY
Command-line interface
Compiler
Computer
Computer architecture
Computer cluster
Computer file
Computer lab
Computer programming
Computer science
Computer scientist
Computing
Conditional (computer programming)
COP=United States
Data wrangling
Database
Delivery_Delivery within 10-20 working days
Directory (computing)
eq_bestseller
eq_computing
eq_isMigrated=2
eq_nobargain
eq_non-fiction
eq_science
Expression (computer science)
Filename
Genetic algorithm
Ggplot2
GNU Scientific Library
Graphical user interface
Icon (computing)
Instance (computer science)
Join (SQL)
Language_English
Mathematical optimization
Metacharacter
Molecular biology
Object-oriented programming
PA=Available
Papers (software)
Parameter (computer programming)
Path (computing)
Polymorphism (computer science)
Price_€50 to €100
Processing (programming language)
Profiling (computer programming)
Programmer
Programming language
Programming tool
PS=Active
Python (programming language)
Redirection (computing)
Regular expression
Relational database
Relational database management system
Server (computing)
softlaunch
Software
Software developer
Software development
Software industry
Software release life cycle
Source lines of code
SQL
SQLite
Statement (computer science)
String (computer science)
Text editor
Text file
Unix
Variable (computer science)
Version control
Web of Science
Website
Word processor

Product details

  • ISBN 9780691182759
  • Dimensions: 203 x 254mm
  • Publication Date: 15 Jan 2019
  • Publisher: Princeton University Press
  • Publication City/Country: US
  • Product Form: Paperback
  • Language: English
Secure checkout Fast Shipping Easy returns
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 Madlen Wilmes | Stefano Allesina
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.

More from this author