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Big data analysis for bioinformatics and biomedical discoveries
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| 概要 | "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"--続きを見る |
| 目次 | Linux for big data analysis Shui Qing Ye and Ding-You Li Pythong for big data analysis Dmitry N. Grigoryev R for big data analysis Stephen D. Simon Genome-Seq data analysis Min Xiong, Li Qin Zhang, and Shui Qing Ye RNA-seq data analysis Li Qin Zhang, Min Xiong, Daniel P. Heruth, and Shui Qing Ye Microbiome-seq data analysis Daniel P. Heruth, Min Xiong, and Xun Jiang miRNA-seq data analysis Daniel P. Heruth, Min Xiong, and Guang-Liand Bi Methylome-seq data analysis Chengpeng Bi ChIP-seq data analysis Shui Qing Ye, Li Qin Zhang, and Jiancheng Tu Integrating omics data in big data analysis Li Qin Zhang, Daniel P. Heruth, and Shui Qing Ye Pharmacogenetics and genomics Andrea Gaedigk, Katrin Sangkuhl, and Larisa H. Cavallari Exploring de-identified electronic health record data with i2b2 Mark Hoffman Big data and drug discovery Gerald J. Wyckoff and D. Andrew Skaff Literature-based knowledge discovery Hongfanf Liu and Majid Rastegar-Mojarad Mitigating high dimensionality in big data Deendayal Dinakarpandian.続きを見る |
| アクセス注記 | Taylor & Francis eBooks DRM Free Collection トライアル中(2023/3/31まで利用可能) 【Trial】This title is available until March 31, 2023. |
| 本文を見る | Taylor & Francis eBooks DRM Free Collection: 2016 |
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| 登録日 | 2023.01.20 |
| 更新日 | 2023.01.20 |