Big Data Analytics in Bioinformatics and Healthcare

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. 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 This Book 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-- Advanced Datamining Using Rn Aseq Data -- Text Mining On Big And Complex Biomedical Literature -- Interactive Data Visualization Techniques Applied To Healthcare Decision Making -- Large-scale Regulatory Network Analysis From Microarray Data : Application To Seed Biology -- Detection And Employment Of Biological Sequence Motifs -- Observer-biased Analysis Of Gene Expression Profiles -- Heuristic Principal Component Analysis-based Unsupervised Feature Extraction And Its Application To Bioinformatics -- The Role Of Big Data In Radiation Oncology : Challenges And Potentials -- Analysis Of Genomic Data In A Cloud Computing Environment -- Pathway Analysis And Its Applications -- Computational Systems Biology Perspective On Tuberculosis In Big Data Era : Challenges And Future Goals -- Bioinformatics-driven Big Data Analytics In Microbial Research -- Perspectives On Data Integration In Human Complex Disease Analysis -- Current Study Designs, Methods, And Future Directions Of Genetic Association Mapping -- Personalized Disease Phenotypes From Massive Omics Data -- Intellectual Property Protection For Synthetic Biology, Including Bioinformatics And Computational Intelligence -- Clinical Data Linkages In Spinal Cord Injuries (sci) In Australia : What Are The Concerns? -- The Benefits Of Big Data Analytics In The Healthcare Sector : What Are They And Who Benefits?. Baoying Wang, Waynesburg University, Usa, Ruowang Li, Pennsylvania State University, Usa, William Perrizo, North Dakota State University, Usa. Includes Bibliographical References (pages 440-512) And Index.