Big data analysis for bioinformatics and biomedical discoveries

✍ Scribed by Ye, Shui Qing (ed.)

• Publisher: CRC Press Taylor & Francis Group
• Year: 2016
• Tongue: English
• Leaves: 286
• Series: Chapman & Hall
• Category: Library

✦ Table of Contents

Content: Commonly Used Tools for Big Data AnalysisLinux for Big Data Analysis Shui Qing Ye and Ding-You LiPython for Big Data Analysis Dmitry N. GrigoryevR for Big Data Analysis Stephen D. SimonNext-Generation DNA Sequencing Data AnalysisGenome-Seq Data Analysis Min Xiong, Li Qin Zhang, and Shui Qing YeRNA-Seq Data Analysis Li Qin Zhang, Min Xiong, Daniel P. Heruth, and Shui Qing YeMicrobiome-Seq Data Analysis Daniel P. Heruth, Min Xiong, and Xun JiangmiRNA-Seq Data Analysis Daniel P. Heruth, Min Xiong, and Guang-Liang BiMethylome-Seq Data Analysis Chengpeng BiChIP-Seq Data Analysis Shui Qing Ye, Li Qin Zhang, and Jiancheng TuIntegrative and Comprehensive Big Data AnalysisIntegrating Omics Data in Big Data Analysis Li Qin Zhang, Daniel P. Heruth, and Shui Qing YePharmacogenetics and Genomics Andrea Gaedigk, Katrin Sangkuhl, and Larisa H. CavallariExploring De-Identified Electronic Health Record Data with i2b2 Mark HoffmanBig Data and Drug Discovery Gerald J. Wyckoff and D. Andrew SkaffLiterature-Based Knowledge Discovery Hongfang Liu and Majid Rastegar-MojaradMitigating High Dimensionality in Big Data Analysis Deendayal Dinakarpandian

✦ Subjects

Big data.;Data mining.