Big data analysis for bioinformatics and biomedical discoveries
Boca Raton
CRC Press/Taylor & Francis Group
2016
xix, 273 p.: illustrations ; 24 cm.
Chapman & Hall/CRC mathematical and computational biology series
"A Chapman & Hall book."
Includes bibliographical references and index
edited by Shui Qing Ye
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