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Can I read Big Data Analysis for Bioinformatics and Biomedical Discoveries (Chapman & Hall/CRC Mathematical and Computational Biology) on EtoBox?

Big Data Analysis for Bioinformatics and Biomedical Discoveries (Chapman & Hall/CRC Mathematical and Computational Biology) by Shui Qing Ye (Editor) is a nonfiction available to read on EtoBox.

What is Big Data Analysis for Bioinformatics and Biomedical Discoveries (Chapman & Hall/CRC Mathematical and Computational Biology) about?

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 principle

Who reads Big Data Analysis for Bioinformatics and Biomedical Discoveries (Chapman & Hall/CRC Mathematical and Computational Biology)?

It is typically read by self-directed learners exploring a subject in depth.

Common subject areas: history, science, philosophy, social sciences.

Author
Shui Qing Ye (Editor)
Publisher
CRC Press is an imprint of the Taylor & Francis Group, an informa business
Published
2016
Language
EN
ISBN
9780429076060
Category
nonfiction
Subjects
Mathematics, Technology, Science

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