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Big Data Analysis for Bioinformatics and Biomedical Discoveries - Chapman & Hall / CRC Computational Biology Series 第1 版
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Big Data Analysis for Bioinformatics and Biomedical Discoveries - Chapman & Hall / CRC Computational Biology Series
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.
294 pages, 23 black & white illustrations, 17 black & white tables
| メディア | 書籍 Hardcover Book (ハードカバー付きの本) |
| リリース済み | 2015年12月22日 |
| ISBN13 | 9781498724524 |
| 出版社 | Taylor & Francis Inc |
| ページ数 | 294 |
| 寸法 | 241 × 162 × 21 mm · 586 g |
| 言語 | 英語 |
| 編集者 | Ye, Shui Qing |
