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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.
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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