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Bioinformatics data skills / Vince Buffalo.

By: Buffalo, Vince.
Material type: TextTextPublisher: Sebastopol, CA : O'Reilly, 2015Edition: First edition.Description: xxv, 507 pages : illustrations ; 24 cm.Content type: text Media type: unmediated Carrier type: volumeISBN: 9781449367374; 1449367372.Other title: Bioinformatics data skills : reproducible and robust research with open source tools [Cover title].Subject(s): Bioinformatics | Big data | Database management | Biology -- Data processing | Information scienceDDC classification: 570.285 LOC classification: QH324.2 | .B838 2015
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.
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Item type Current location Call number Status Date due Barcode
Book University of Texas At Tyler
Stacks - 3rd Floor
QH324.2 .B838 2015 (Browse shelf) Checked out 05/08/2020 0000002106656
Browsing University of Texas At Tyler Shelves , Shelving location: Stacks - 3rd Floor Close shelf browser
QH315.5 .F75 2013 Biology / QH323.5 .H386 2011 Mathematics of bioinformatics : QH324.2 .B5474 2011 Bioinformatics for biologists / QH324.2 .B838 2015 Bioinformatics data skills / QH324.2 .Z84 2008 Understanding bioinformatics / QH352 .H34 2018 Molecular population genetics / QH360.2 .E54 2002 V.1 Encyclopedia of evolution /

Includes bibliographical references (pages 479-482) and index.

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.

Author notes provided by Syndetics

Vince Buffalo is currently a first-year graduate student studying population genetics in Graham Coop's lab at University of California, 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.

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