Singh V. Advances in Bioinformatics 2ed 2024 torrent

Textbook in PDF format

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.
Revolutionizing Genomics:​ Exploring the Potential of Next-Generation Sequencing
Advances in Structural Bioinformatics
Functional Genomics and Network Biology
Bioinformatics in Gene and Genome Analysis
Role of Bioinformatics in Non-coding RNA Analysis
Next Generation Sequencing in Healthcare
Genome Scale Modeling for Novel Drug Targets
Role of Bioinformatics in Genome Editing
Bioinformatics in Pathway Identification, Design, Modelling, and Simulation
Integration of Metabolomics and Flux Balance Analysis:​ Applications and Challenges
Bioinformatics in Drug Discovery
Use of Bioinformatics in High-Throughput Drug Screening
Bioinformatics in Precision Medicine and Healthcare
Role of Bioinformatics in Data Mining and Big Data Analysis
Unveiling the Dynamic Role of Bioinformatics in Automation for Efficient and Accurate Data Processing and Interpretation
Artificial Intelligence and Machine Learning in Bioinformatics
Bioinformatics in Preventive Medicine and Epidemiology