Description: Big Data Analysis for Bioinformatics and Biomedical Discoveries (Chapman & Hall/CRC Computational Biology Series) 1st Edition by Shui Qing Ye (Editor) Demystifies Biomedical and Biological Big Data Analyses 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. Condition: New
Price: 115.94 USD
Location: Summersville, West Virginia
End Time: 2025-02-05T00:02:40.000Z
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Item Specifics
All returns accepted: ReturnsNotAccepted
Number of Pages: 274 Pages
Publication Name: Big Data Analysis for Bioinformatics and Biomedical Discoveries
Language: English
Publisher: CRC Press LLC
Item Height: 0.8 in
Subject: Programming / Games, Probability & Statistics / General, Databases / Data Mining, Life Sciences / Biology
Publication Year: 2015
Item Weight: 20 Oz
Type: Textbook
Author: Shui Qing Ye
Item Length: 9.5 in
Subject Area: Mathematics, Computers, Science
Item Width: 6.6 in
Series: Chapman and Hall/Crc Computational Biology Ser.
Format: Hardcover