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Managing Your Biological Data with Python

Requiring no prior programming experience, Managing Your Biological Data with Python empowers biologists and other life scientists to work with biological data on their own using the Python language. The book teaches them not only how to program but also how to manage their data. It shows how to rea...

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Bibliographic Details
Main Author: Allegra Via
Other Authors: Kristian Rother; Anna Tramontano
Format: Printed Book
Published: CRC Press / Taylor & Francis Group 2014
Series:Chapman & Hall/CRC Mathematical and Computational Biology
Subjects:
Table of Contents:
  • Assumes no previous programming experience Explains how the Python programming language can help pragmatically manage big biological data sets, go beyond the limitations of spreadsheets, and analyze more experimental results in less time Describes strategies and tools to organize, analyze, and present data, including Python tools to manage the R package for statistical calculations Presents many examples that address a variety of biological questions Teaches how to parse and write biological data files in different formats, such as FASTA, Genbank, and PDB Includes end-of-chapter exercises for self-testing or for a programming course for life scientists Offers an overview of Python and UNIX commands, links to online Python resources, and a UNIX tutorial in the appendices