Bioinformatics Methods

From Omics to Next Generation Sequencing

Shili Lin, Denise Scholtens, Sujay Datta

• Publisher: Chapman and Hall/CRC
• Year: 2022
• Print ISBN: 9781498765152
• eBook ISBN: 9781351649766
• Topic: Mathematics
• Subtopic: Biology
• Index: Mathematics

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.

Key Features:

• 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

Table of contents

• Cover Page
• Half-Title Page
• Title Page
• Copyright Page
• Dedication Page
• Contents
• Preface
• 1 The Biology of a Living Organism
• 2 Protein-Protein Interactions
• 3 Protein-Protein Interaction Network Analyses
• 4 Detection of Imprinting and Maternal Effects
• 5 Modeling and Analysis of Next-Generation Sequencing Data
• 6 Sequencing-Based DNA Methylation Data
• 7 Modeling and Analysis of Spatial Chromatin Interactions
• 8 Digital Improvement of Single Cell Hi-C Data
• 9 Metabolomics Data Preprocessing
• 10 Metabolomics Data Analysis
• 11 Appendix
• Bibliography
• Index