The past three decades have witnessed an explosion of what is now referred to as high-dimensional `omics' data. Bioinformatics Methods: From Omics to Next Generation Sequencing describes the statistical methods and analytic frameworks that are best equipped to interpret these complex data and how they apply to health-related research. Covering the technologies that generate data, subtleties of various data types, and statistical underpinnings of methods, this book identifies a suite of potential analytic tools, and highlights commonalities among statistical methods that have been developed.
An ideal reference for biostatisticians and data analysts that work in collaboration with scientists and clinical investigators looking to ensure rigorous application of available methodologies.
- Survey of a variety of omics data types and their unique features
- Summary of statistical underpinnings for widely used omics data analysis methods
- Description of software resources for performing omics data analyses
Chapter 1 The Biology of a Living Organism
Chapter 2 Protein-Protein Interactions
Chapter 3 Protein-Protein Interaction Network Analyses
Chapter 4 Detection of Imprinting and Maternal Effects
Chapter 5 Modelling and Analysis of Next-Generation Sequencing Data
Chapter 6 Sequencing-Based DNA Methylation Data
Chapter 7 Modelling and Analysis of Spatial Chromatin Interactions
Chapter 8 Digital Improvement of Single Cell Hi-C Data
Chapter 9 Metabolomics Data Pre-processing
Chapter 10 Metabolomics Data Analysis
Chapter 11 Appendix
"In conclusion, “Bioinformatics Methods: FromOmics to Next Generation Sequencing” is an essential reference for researchers, students, and professionals in the broad field of biomedicine who are interested in the biostatistics and bioinformatics aspects of omics. Its comprehensive coverage, clear explanations, practical applications, and incorporation of the latest advancements make it an invaluable resource. By empowering readers with the knowledge and tools to navigate the complexities of biological data, this book paves the way for groundbreaking discoveries and advancements in the realm of life sciences."
Yu-Chiao Chiu, Cancer Therapeutics Program, University of Pittsburgh Medical Center Hillman Cancer Center, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, USA, Biometrics.