Integrative Omics

Concept, Methodology, and Application

Manish Kumar Gupta, Pramod Katara, Sukanta Mondal, Ram Lakhan Singh, Manish Kumar Gupta, Pramod Katara, Sukanta Mondal, Ram Lakhan Singh

• Publisher: Academic Press
• Year: 2024
• Print ISBN:
  9780443160929
• eBook ISBN:
  9780443160936
• Topic: Biological Sciences
• Subtopic: Bioinformatics
• Index: Biological Sciences

Integrative Omics: Concepts, Methodology and Applications provides a holistic and integrated view of defining and applying network approaches, integrative tools, and methods to solve problems for the rationalization of genotype to phenotype relationships. The reference includes a range of chapters in a systemic 'step by step' manner, which begins with the basic concepts from Omic to Multi Integrative Omics approaches, followed by their full range of approaches, applications, emerging trends, and future trends. All key areas of Omics are covered including biological databases, sequence alignment, pharmacogenomics, nutrigenomics and microbial omics, integrated omics for Food Science and Identification of genes associated with disease, clinical data integration and data warehousing, translational omics as well as omics technology policy and society research. Integrative Omics: Concepts, Methodology and Applications highlights the recent concepts, methodologies, advancements in technologies and is also well-suited for researchers from both academic and industry background, undergraduate and graduate students who are mainly working in the area of computational systems biology, integrative omics and translational science.  The book bridges the gap between biological sciences, physical sciences, computer science, statistics, data science, information technology and mathematics by presenting content specifically dedicated to mathematical models of biological systems. - Provides a holistic, integrated view of a defining and applying network approach, integrative tools, and methods to solve problems for rationalization of genotype to phenotype relationships - Offers an interdisciplinary approach to Databases, data analytics techniques, biological tools, network construction, analysis, modeling, prediction and simulation of biological systems leading to 'translational research', i.e., drug discovery, drug target prediction, and precision medicine - Covers worldwide methods, concepts, databases, and tools used in the construction of integrated pathways

Table of contents

• Integrative Omics
• Chapter 1 From omic to multi-integrative omics approach
• Chapter 2 Types of omics data
• Chapter 3 Biological omics databases and tools
• Chapter 4 Systematic benchmarking of omics computational tools
• Chapter 5 Pharmacogenomics, nutrigenomics, and microbial omics
• Chapter 6 Proteomics
• Chapter 7 Foodomics
• Chapter 8 Vaccinomics
• Chapter 9 Integrative omics approach for identification of genes associated with disease
• Chapter 10 Integrative omics approaches for identification of biomarkers
• Chapter 11 Omics approach for personalized and diagnostics medicine
• Chapter 12 Role of bioinformatics in genome analysis
• Chapter 13 Data management in cross-omics
• Chapter 14 Omics and clinical data integration and data warehousing
• Chapter 15 Integrative omics data mining
• Chapter 16 Data science and analytics, modeling, simulation, and issues of omics dataset
• Chapter 17 Emerging trends in translational omics
• Chapter 18 Omics technologies for crop improvement
• Chapter 19 Ecology and environmental omics
• Chapter 20 Current trends and approaches in clinical metagenomics
• Chapter 21 Biomolecular networks
• Chapter 22 Machine learning fundamentals to explore complex omics data
• Chapter 23 Omics technology policy and society research
• Index