Big Data Analytics in Bioinformatics and Healthcare

✍ Scribed by Baoying Wang, Ruowang Li, William Perrizo

• Publisher: IGI Global
• Year: 2015
• Tongue: English
• Leaves: 553
• Series: Advances in Bioinformatics and Biomedical Engineering (ABBE)
• Category: Library

✦ Synopsis

As technology evolves and electronic data becomes more complex, digital medical record management and analysis becomes a challenge. In order to discover patterns and make relevant predictions based on large data sets, researchers and medical professionals must find new methods to analyze and extract relevant health information.

Big Data Analytics in Bioinformatics and Healthcare merges the fields of biology, technology, and medicine in order to present a comprehensive study on the emerging information processing applications necessary in the field of electronic medical record management. Complete with interdisciplinary research resources, this publication is an essential reference source for researchers, practitioners, and students interested in the fields of biological computation, database management, and health information technology, with a special focus on the methodologies and tools to manage massive and complex electronic information.

✦ Table of Contents

Cover Image
Title Page
Copyright Page
Advances in Bioinformatics and Biomedical Engineering (ABBE) Book Series
Editorial Advisory Board and List of Reviewers
Table of Contents
Detailed Table of Contents
Preface
Section 1: Big Data Analysis Methods and Applications
Chapter 1: Advanced Datamining Using RNAseq Data
Chapter 2: Text Mining on Big and Complex Biomedical Literature
Chapter 3: Interactive Data Visualization Techniques Applied to Healthcare Decision Making
Chapter 4: Large-Scale Regulatory Network Analysis from Microarray Data
Chapter 5: Detection and Employment of Biological Sequence Motifs
Chapter 6: Observer-Biased Analysis of Gene Expression Profiles
Chapter 7: Heuristic Principal Component Analysis-Based Unsupervised Feature Extraction and Its Application to Bioinformatics
Section 2: Reviews and Perspectives on Big Data Analysis
Chapter 8: The Role of Big Data in Radiation Oncology
Chapter 9: Analysis of Genomic Data in a Cloud Computing Environment
Chapter 10: Pathway Analysis and Its Applications
Chapter 11: Computational Systems Biology Perspective on Tuberculosis in Big Data Era
Chapter 12: Bioinformatics-Driven Big Data Analytics in Microbial Research
Chapter 13: Perspectives on Data Integration in Human Complex Disease Analysis
Chapter 14: Current Study Designs, Methods, and Future Directions of Genetic Association Mapping
Chapter 15: Personalized Disease Phenotypes from Massive OMICs Data
Section 3: Issues and Concerns in the Big Data Era
Chapter 16: Intellectual Property Protection for Synthetic Biology, Including Bioinformatics and Computational Intelligence
Chapter 17: Clinical Data Linkages in Spinal Cord Injuries (SCI) in Australia
Chapter 18: The Benefits of Big Data Analytics in the Healthcare Sector
Compilation of References
About the Contributors
Index