Description
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
- From Omics to Multi-integrative Omics Approach- Types Of Omics Data: Genomics, Metagenomics, Epigenomics, Transcriptomics, Proteomics, Metabolomics and Phenomics- Biological Omics databases and Tools- Systematic Benchmarking of Omics Computational Tools- Pharmacogenomics, Nutrigenomics, and Microbial Omics- Proteomics: Present and Future Prospectives- Foodomics: Integrated Omics for the Food and Nutrition Science- Vaccinomics- Integrative Omics Approach for Identification of Genes Associated with Disease- Integrative Omics Approaches for Identification of Biomarkers- Omics Approach for Personalized and Diagnostics Medicine- Role of Bioinformatics in Genome Analysis- Data Management in Cross Omics- Omics and Clinical Data Integration and Data Warehousing- Integrative Omics Data Mining: Challenges and Opportunities- Data Science and Analytics, Modeling, Simulation, and Issues of Omics Data Set- Emerging Trends in Translational Omics- Omics Technology for Crop Improvement- Ecology and Environmental Omics- Current Trends and Approaches in Clinical Metagenomics- Bio-molecular Networks- Machine Learning Fundamentals to Explore Complex OMICS Data- Omics Technology Policy and Society Research
