Big Data Analysis for Bioinformatics and Biomedical Discoveries

Demystifies Biomedical and Biological Big Data Analyses

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.

Table of Contents

Part I: Commonly Used Tools for Big Data Analysis
Chapter 1: Linux for Big Data Analysis
Chapter 2: Python for Big Data Analysis
Chapter 3: R for Big Data Analysis

Part II: Next-Generation DNA Sequencing Data Analysis
Chapter 4: Genome-Seq Data Analysis
Chapter 5: RNA-Seq Data Analysis
Chapter 6: Microbiome-Seq Data Analysis
Chapter 7: miRNA-Seq Data Analysis
Chapter 8: Methylome-Seq Data Analysis
Chapter 9: ChIP-Seq Data Analysis

Part III: Integrative and Comprehensive Big Data Analysis
Chapter 10: Integrating Omics Data in Big Data Analysis
Chapter 11: Pharmacogenetics and Genomics
Chapter 12: Exploring De-Identified Electronic Health Record Data with i2b2
Chapter 13: Big Data and Drug Discovery
Chapter 14: Literature-Based Knowledge Discovery
Chapter 15: Mitigating High Dimensionality in Big Data Analysis