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A Primer for Computational Biology
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  • Title A Primer for Computational Biology
  • Author(s) Shawn T. O'Neil
  • Publisher: Oregon State University Press; 1st edition (2017); eBook (Creative Commons Edition)
  • License(s): CC BY-NC-SA
  • Paperback 545 pages
  • eBook HTML and PDF
  • Language: English
  • ISBN-10: 0870719262
  • ISBN-13: 978-0870719264
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Book Description

This textbook is for anyone who needs to learn the basics of bioinformatics - the use of computational methods to better understand biological systems.

It aims to provide the skills necessary for research in a data-rich world. The text covers accessing and using remote servers via the command-line, writing programs and pipelines for data analysis, and provides useful vocabulary for interdisciplinary work.

The book is broken into three parts:

  1. Introduction to Unix/Linux: The command-line is the "natural environment" of scientific computing.
  2. Programming in Python: Python is both a premier language for learning and a common choice in scientific software development.
  3. Programming in R: The R language specializes in statistical data analysis, and is also quite useful for visualizing large datasets.
About the Authors
  • Shawn T. O'Neil earned a BS in computer science from Northern Michigan University, and later an MS and PhD in the same subject from the University of Notre Dame. His past and current research focuses on bioinformatics. O’Neil has developed and taught several courses in computational biology at both Notre Dame and Oregon State University.
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