Univerzitní knihovna OU - Úplné zobrazení záznamu

Contents // Preface, ix // Acknowledgments, xiii Editor, XV Contributors, xvii // Section I Commonly Used Tools for Big Data Analysis // Chapter 1 ¦ Linux for Big Data Analysis 3 // Shui Qinc Ye and Dinc-You Li // Chapter 2 ¦ Python for Big Data Analysis___15 // Dmitry N. Grigoryev // Chapter 3 ¦ R for Big Data Analysis 35 // Stephen D. Simon . // Section II Next-Generation DNA Sequencing Data Analysis // Chapter 4 ¦ Genome-Seq Data Analysis 57 // Min Xiong, Li Qin Zhang, and Shui Qing Ye // Chapter 5 ¦ RNA-Seq Data Analysis 79 // Li Qin Zhang, Min Xiong, Daniel P. Heruth, and Shui Qing Ye // Chapter 6 ¦ Microbiome-Seq Data Analysis___97 // Daniel P. Heruth, Min Xiong, and Xun Jiang // vii // viii ¦ Contents // Chapter 7 . miRNA-Seq Data Analysis___117 // Daniel P. Heruth, Min Xiong, and Guang-Liang Bi // Chapter 8 ¦ Methylome-Seq Data Analysis___1A1 // Chengpeng Bi // Chapter 9 - ChIP-Seq Data Analysis ___J47 // Shui Qing Ye, Li Qin Zhang, and Jiancheng Tu // Section III Integrative and Comprehensive Big Data Analysis // Chapter 10 - Integrating Omics Data in Big Data Analysis 163 // Li Qin Zhang, Daniel P. Heruth, and Shui Qing Ye // Chapter 11 ¦ Pharmacogenetics and Genomics___179 // Andrea Gaedigk, Katrin Sangkuhl, and Larisa H. Cavallari // Chapter 12 - Exploring De-ldentified Electronic Health // Record Data with i2b2___201 // Mark Hoffman // Chapter 13 - Big Data and Drug Discovery ___215 // Gerald J. Wyckoff and D. Andrew Skaff // Chapter 14 ¦ Literature-Based

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