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Big data analysis for bioinformatics and biomedical discoveries

Contributor(s): Ye, Shui Qing [editor].
Material type: materialTypeLabelBookSeries: Publisher: New York : CRC Press, ©2016Description: xix, 273p. : ill. ; 24cm.ISBN: 9781498724524.Subject(s): Bioinformatics | Medical sciences -- Data processing | Sequence alignment (Bioinformatics) | Nucleotide sequence | Data mining | Big dataSummary: "Big Data Analysis for Bioinformatics and Biomedical Discoveries provides a practical guide to the nuts and bolts of Big Data, enabling you to quickly and effectively harness the power of Big Data to make groundbreaking biological discoveries, carry out translational medical research, and implement personalized genomic medicine. Contributing to the NIH Big Data to Knowledge (BD2K) initiative, the book enhances your computational and quantitative skills so that you can exploit the Big Data being generated in the current omics era. The book explores many significant topics of Big Data analyses in an easily understandable format. It describes popular tools and software for Big Data analyses and explains next-generation DNA sequencing data analyses. It also discusses comprehensive Big Data analyses of several major areas, including the integration of omics data, pharmacogenomics, electronic health record data, and drug discovery. Accessible to biologists, biomedical scientists, bioinformaticians, and computer data analysts, the book keeps complex mathematical deductions and jargon to a minimum. Each chapter includes a theoretical introduction, example applications, data analysis principles, step-by-step tutorials, and authoritative references"--
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Item type Current location Collection Call number Status Date due Barcode Item holds Course reserves
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Biology 570.285 YE-B (Browse shelf) Available 009277
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Biology REF 570.285 YE-B (Browse shelf) Checked out Not For Loan 30/12/2019 008218

Big Data Mining in Healthcare UG/PG Winter

Total holds: 0

"A Chapman & Hall book."

Includes bibliographical references and index.

"Big Data Analysis for Bioinformatics and Biomedical Discoveries provides a practical guide to the nuts and bolts of Big Data, enabling you to quickly and effectively harness the power of Big Data to make groundbreaking biological discoveries, carry out translational medical research, and implement personalized genomic medicine. Contributing to the NIH Big Data to Knowledge (BD2K) initiative, the book enhances your computational and quantitative skills so that you can exploit the Big Data being generated in the current omics era. The book explores many significant topics of Big Data analyses in an easily understandable format. It describes popular tools and software for Big Data analyses and explains next-generation DNA sequencing data analyses. It also discusses comprehensive Big Data analyses of several major areas, including the integration of omics data, pharmacogenomics, electronic health record data, and drug discovery. Accessible to biologists, biomedical scientists, bioinformaticians, and computer data analysts, the book keeps complex mathematical deductions and jargon to a minimum. Each chapter includes a theoretical introduction, example applications, data analysis principles, step-by-step tutorials, and authoritative references"--

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