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Bioinformatics Data Skills: Reproducible and Robust Research with Open Source Tools
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  • Title Bioinformatics Data Skills: Reproducible and Robust Research with Open Source Tools
  • Author(s) Vince Buffalo
  • Publisher: O'Reilly Media; 1 edition (November 25, 2014)
  • Paperback 300 pages
  • ebook HTML and PDF (344 pages, 2.8 MB)
  • Language: English
  • ISBN-10: 1449367372
  • ISBN-13: 978-1449367374
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Book Description

This practical book teaches the skills that scientists need for turning large sequencing datasets into reproducible and robust biological findings. Many biologists begin their bioinformatics training by learning scripting languages like Python and R alongside the Unix command line. But there's a huge gap between knowing a few programming languages and being prepared to analyze large amounts of biological data.

Rather than teach bioinformatics as a set of workflows that are likely to change with this rapidly evolving field, this book demsonstrates the practice of bioinformatics through data skills. Rigorous assessment of data quality and of the effectiveness of tools is the foundation of reproducible and robust bioinformatics analysis. Through open source and freely available tools, you'll learn not only how to do bioinformatics, but how to approach problems as a bioinformatician.

About the Authors
  • Vince Buffalo is currently a first-year graduate student studying population genetics in Graham Coop's lab at UC Davis in the Population Biology Graduate Group. Before starting his PhD in population genetics, Vince worked professionally as a bioinformatician in the Bioinformatics Core at the UC Davis Genome Center and in the Department of Plant Sciences. An obsessive programmer since he was a young teenager, Vince was drawn to the statistical and computational problems of genomics. He works on open source bioinformatics tools in his work and free time, and enjoys fly fishing and cooking when away from the computer.
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