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Full Description
The second edition of Advances in Bioinformatics presents the latest developments in bioinformatics in gene discovery, genome analysis, genomics, transcriptomics, proteomics, metabolomics, metabolic flux analysis, drug discovery, and drug repurposing. It includes advancements in the applications of bioinformatics in the analysis of non-coding RNA, next-generation sequencing, genome-scale modelling, high throughput drug screening, precision medicine, automation and artificial intelligence, and machine learning. The chapter also summarizes the technologies and concepts that form the basis of this functional genomics approach. Additionally, the book highlights some of the areas in which bioinformatics resources and methods are being developed to support the drug discovery pipeline. The chapter also discusses the role of bioinformatics in modelling and simulations of molecular biology systems in pathways identification and design. It is a valuable source of information for beginners in bioinformatics and students, researchers, scientists, clinicians, practitioners, policymakers, and stakeholders who are interested in harnessing the potential of bioinformatics in biomedical and allied sciences.
Contents
Ch 1 Revolutionizing Genomics: Exploring the Potential of Next-Generation Sequencing.- Ch 2 Advances in structural bioinformatics.- Ch 3 Functional genomics and network biology.- Ch 4 Bioinformatics in gene and genome analysis.- Ch 5 Role of bioinformatics in non-coding RNA analysis.- Ch 6 Next generation sequencing in healthcare.- Ch 7 Genome scale modelling for novel drug targets.- Ch 8 Role of bioinformatics in genome editing.- Ch 9 Bioinformatics in pathway identification, design, modelling and simulation.- Ch 10 Integration of Metabolomics and Flux Balance Analysis: Applications and Challenges.- Ch 11 Bioinformatics in drug discovery.- Ch 12 Use of bioinformatics in high throughput drug screening.- Ch 13 Bioinformatics in precision medicine and healthcare.- Ch 14 Role of bioinformatics in data mining and big data analysis.- Ch 15 Unveiling the Dynamic Role of Bioinformatics in Automation for Efficient and Accurate Data Processing and Interpretation.- Ch 16 Artificial intelligence and machine learning in bioinformatics.- Ch 17 Bioinformatics in preventive medicine and epidemiology.
