001438380 000__ 05211cam\a2200529\i\4500 001438380 001__ 1438380 001438380 003__ OCoLC 001438380 005__ 20230309004302.0 001438380 006__ m\\\\\o\\d\\\\\\\\ 001438380 007__ cr\cn\nnnunnun 001438380 008__ 210724s2021\\\\si\a\\\\o\\\\\000\0\eng\d 001438380 019__ $$a1260820550$$a1266810866$$a1268574129$$a1284942895 001438380 020__ $$a9789811606915$$q(electronic bk.) 001438380 020__ $$a9811606919$$q(electronic bk.) 001438380 020__ $$z9789811606908 001438380 020__ $$z9811606900 001438380 0247_ $$a10.1007/978-981-16-0691-5$$2doi 001438380 035__ $$aSP(OCoLC)1261364202 001438380 040__ $$aEBLCP$$beng$$erda$$epn$$cEBLCP$$dYDX$$dGW5XE$$dOCLCO$$dDCT$$dOCLCF$$dUKAHL$$dDKU$$dOCLCQ$$dOCLCO$$dOCLCQ 001438380 049__ $$aISEA 001438380 050_4 $$aRC112$$b.I58 2021 001438380 08204 $$a616.9$$223 001438380 24500 $$aIntegrated omics approaches to infectious diseases /$$cSaif Hameed, Zeeshan Fatima, editors. 001438380 264_1 $$aSingapore :$$bSpringer,$$c[2021] 001438380 264_4 $$c©2021 001438380 300__ $$a1 online resource (538 pages) :$$billustrations (chiefly color) 001438380 336__ $$atext$$btxt$$2rdacontent 001438380 337__ $$acomputer$$bc$$2rdamedia 001438380 338__ $$aonline resource$$bcr$$2rdacarrier 001438380 347__ $$atext file 001438380 347__ $$bPDF 001438380 5050_ $$aChapter 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. 001438380 506__ $$aAccess limited to authorized users. 001438380 520__ $$aThis book examines applications of multi-omics approaches for understanding disease etiology, pathogenesis, host-pathogen interactions. It also analyzes the genetics, immunological and metabolic mechanisms underlying the infections. The book also explores genomics, transcriptomics, translational-omics, and metabolomics approaches to understand the pathogenesis and identify potential drug targets. It reviews the role of epigenetic reprogramming in shaping the host-pathogen interactions and presents bioinformatics application in the identification of drug targets. Further, it examines the potential applications of RNA sequencing and non-coding RNA profiling to identify the pathogenesis. Lastly, it offers the current challenges, technological advances, and prospects of using multi-omics technologies in infectious biology. 001438380 588__ $$aDescription based on print version record. 001438380 650_0 $$aCommunicable diseases$$xEtiology. 001438380 650_6 $$aMaladies infectieuses$$xÉtiologie. 001438380 655_0 $$aElectronic books. 001438380 7001_ $$aHameed, Saif,$$eeditor. 001438380 7001_ $$aFatima, Zeeshan,$$eeditor. 001438380 77608 $$iPrint version:$$aHameed, Saif.$$tIntegrated Omics Approaches to Infectious Diseases.$$dSingapore : Springer Singapore Pte. Limited, ©2021$$z9789811606908 001438380 852__ $$bebk 001438380 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-981-16-0691-5$$zOnline Access$$91397441.1 001438380 909CO $$ooai:library.usi.edu:1438380$$pGLOBAL_SET 001438380 980__ $$aBIB 001438380 980__ $$aEBOOK 001438380 982__ $$aEbook 001438380 983__ $$aOnline 001438380 994__ $$a92$$bISE