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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 PDF
- Language: English
- ISBN-10: 1449367372
- ISBN-13: 978-1449367374
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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 Author(s)- Vince Buffalo is currently a a postdoc studying evolutionary genetics in the Kern and Ralph labs at the University of Oregon.
- Bioinformatics, Computational Biology, and Healthcare IT
- Data Analysis and Data Mining, Big Data
- Free and Open Source Software (FOSS)
- Data Storage and Management
- Database Systems
- Bioinformatics Data Skills: Reproducible and Robust Research with Open Source Tools
- The Mirror Site (1) - PDF
- The Mirror Site (2) - PDF
- Book Homepage (Errata, etc.)
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