Integrated Omics Approaches to Infectious Diseases

<p>Chapter 1.&nbsp;Geno-Informatics for Prediction of Virulence and Drug Resistance in Bacterial Pathogens.- Chapter&nbsp;2.&nbsp;Next Generation Sequencing: Challenges and Opportunities in Tuberculosis Research.- Chapter 3.&nbsp;Deciphering the role of epigenetic reprogramming in host-pathogen interactions.- Chapter 4.&nbsp;Genomic evidence provides the understanding of SARS-CoV-2 composition, divergence and diagnosis.- Chapter&nbsp;5.&nbsp;Importance of Next Generation Sequencing in Viral Diagnostics.- Chapter 6.&nbsp;Bioinformatics application in CoVID19.- Chapter 7.&nbsp;Emerging Transcriptomics approaches to decipher Mycobacterial complexities.- Chapter 8.&nbsp;Microarrays: A road map to uncover host pathogen interactions.- Chapter 9.&nbsp;Transcriptional Approach in the Identification of Drug Targets in&nbsp;Candida&nbsp;spp.- Chapter 10.&nbsp;Non-Coding RNA profiling: Potential Application in Infectious Diseases.- Chapter 11.&nbsp;RNA-seq analysis strategies to understand viral pathogenesis.- Chapter 12.&nbsp;Various Transcriptomic approaches & their applications to study small non-coding RNAs in Dengue and other viruses.- Chapter 13.&nbsp;Transcriptomic Approaches in Understanding Sars-COV-2 Infection.- Chapter 14.&nbsp;miRNA target prediction: Overview and applications.- Chapter 15.&nbsp;A Glimpse into Peptidomic Approach.- Chapter 16.&nbsp;Molecular mechanism of action of antimicrobial agents against clinically important human pathogens: A proteomic approach.- Chapter 17.&nbsp;Exploration of the mycobacterial proteome in the pathogenesis of TB:&nbsp; A perspective.- Chapter 18.&nbsp;Pathogenesis of&nbsp;Staphylococcus aureus&nbsp;and proteomic strategies for the identification of drug targets.- Chapter 19.&nbsp;Proteomics in the study of Host-Pathogen interactions.- Chapter 20.&nbsp;Significance of post-translational modifications in Apicomplexan parasites.- Chapter 21.&nbsp;An introduction to computational pipelines for analyzing untargeted metabolomics data&nbsp;for&nbsp;Leishmaniasis.- Chapter 22.&nbsp;Metabolomics: PromisingTool to Study Disease Biomarkers and Host-Pathogen Interactions.- Chapter 23.&nbsp;Lipidomics to study the role of lipid droplets in host-pathogen interactions.- Chapter 24.&nbsp;Lipid structure, function and lipidomic applications.- Chapter 25.&nbsp;Nanoparticles as Therapeutic Nanocargos affecting Epigenome of Microbial Biofilms.- Chapter 26.&nbsp;Malaria in the era of OMICS: Challenges and Way forward.- Chapter 27.&nbsp;Omics Approaches for Infectious Diseases.- Chapter 28.&nbsp;Pathogen-Omics: challenges and prospects in research and clinical settings.</p>