Author |
Buffalo, Vince,
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Subject |
Bioinformatics.
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Big data.
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Database management.
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Biology -- Data processing.
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Information science.
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Open source software.
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Add Title |
Reproducible and robust research with open source tools |
Description |
1 online resource (xxv, 507 pages) : illustrations |
Edition |
First edition. |
Note |
Online resource; title from cover (Safari, viewed July 16, 2015). |
Bibliography Note |
Includes bibliographical references and index. |
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. |
ISBN |
1449367518 (electronic bk.) |
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9781449367510 (electronic bk.) |
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144936747X (electronic bk.) |
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9781449367473 (electronic bk.) |
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1449367372 (paperback) |
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9781449367374 (paperback) |
OCLC # |
914287777 |
Additional Format |
Print version: Buffalo, Vince. Bioinformatics data skills. Sebastopol, CA : O'Reilly, 2015. 9781449367374 1449367372 (DLC) 2015458838 (OCoLC)916120899 |
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