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OverviewThis 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 languages like Perl 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. Go from handling small problems with messy scripts to tackling large problems with clever methods and tools Focus on high-throughput (or ""next generation"") sequencing data Learn data analysis with modern methods, versus covering older theoretical concepts Understand how to choose and implement the best tool for the job Delve into methods that lead to easier, more reproducible, and robust bioinformatics analysis Full Product DetailsAuthor: Vince BuffaloPublisher: O'Reilly Media Imprint: O'Reilly Media Dimensions: Width: 17.80cm , Height: 3.00cm , Length: 23.30cm Weight: 0.862kg ISBN: 9781449367374ISBN 10: 1449367372 Pages: 300 Publication Date: 18 August 2015 Audience: Professional and scholarly , General/trade , Professional & Vocational Format: Paperback Publisher's Status: Active Availability: In Print This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us. Table of ContentsReviewsAuthor InformationVince Buffalo is a bioinformatician at the UC Davis Department of Plant Sciences, in Jorge Dubcovsky's wheat genomics lab. Before this, he was the primary statistical programmer at the UC Davis Genome Center's Bioinformatics Core where he analyzed many diverse genomics datasets. 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. Tab Content 6Author Website:Countries AvailableAll regions |