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