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Bioinformatics data skills / Vince Buffalo.

By: Buffalo, Vince.
Material type: materialTypeLabelBookPublisher: Sebastopol : O'Reilly, 2015Edition: 1st ed.Description: xxv, 507 p. : ill. ; 24 cm.ISBN: 9781449367374.Other title: Bioinformatics data skills : reproducible and robust research with open source tools.Subject(s): Bioinformatics | Big data | Database management | Biology -- Data processing | Information science | Database Management Systems | | Computer Science October2016DDC classification: 005.7
Contents:
Ideology : data skills for robust and reproducible bioinformatics. How to learn bioinformatics -- Prerequisites : essential skills for getting started with a bioinformatics project. Setting up and managing a bioinformatics project -- Remedial Unix shell -- Working with remote machines -- Git for scientists -- Bioinformatics data -- Practice : bioinformatics data skills. Unix data tools -- A rapid introduction to the R language -- Working with range data -- Working with sequence data -- Working with alignment data -- Bioinformatics shell scripting, writing pipelines, and parallelizing tasks -- Out-of-memory approaches : Tabix and SGLite.
Summary: Learn the data skills necessary for turning large sequencing datasets into reproducible and robust biological findings. With this practical guide, you'll learn how to use freely available open source tools to extract meaning from large complex biological datasets. At no other point in human history has our ability to understand life's complexities been so dependent on our skills to work with and analyze data. This intermediate-level book teaches the general computational and data skills you need to analyze biological data. If you have experience with a scripting language like Python, you're ready to get started.
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Item type Current location Collection Call number Vol info Status Date due Barcode Item holds
Book - Borrowing Book - Borrowing Central Library
Lower Floor
Academic Bookshop 005.7 BUF (Browse shelf) 9128 Available 000034124
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Index : p. 483-507.

Includes glossary.

Bibliography : p. 479-482.

Ideology : data skills for robust and reproducible bioinformatics. How to learn bioinformatics -- Prerequisites : essential skills for getting started with a bioinformatics project. Setting up and managing a bioinformatics project -- Remedial Unix shell -- Working with remote machines -- Git for scientists -- Bioinformatics data -- Practice : bioinformatics data skills. Unix data tools -- A rapid introduction to the R language -- Working with range data -- Working with sequence data -- Working with alignment data -- Bioinformatics shell scripting, writing pipelines, and parallelizing tasks -- Out-of-memory approaches : Tabix and SGLite.

Learn the data skills necessary for turning large sequencing datasets into reproducible and robust biological findings. With this practical guide, you'll learn how to use freely available open source tools to extract meaning from large complex biological datasets. At no other point in human history has our ability to understand life's complexities been so dependent on our skills to work with and analyze data. This intermediate-level book teaches the general computational and data skills you need to analyze biological data. If you have experience with a scripting language like Python, you're ready to get started.

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