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001445091 001__ 1445091
001445091 003__ OCoLC
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001445091 019__ $$a1302692569$$a1302738773$$a1302952677$$a1302987175$$a1303060499$$a1303078736
001445091 020__ $$a9783030878214$$q(electronic bk.)
001445091 020__ $$a303087821X$$q(electronic bk.)
001445091 020__ $$z9783030878207
001445091 020__ $$z3030878201
001445091 0247_ $$a10.1007/978-3-030-87821-4$$2doi
001445091 035__ $$aSP(OCoLC)1303083149
001445091 040__ $$aEBLCP$$beng$$epn$$cEBLCP$$dGW5XE$$dYDX$$dEBLCP$$dOCLCO$$dOCLCQ$$dUKAHL$$dOCLCQ
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001445091 050_4 $$aQP623.5
001445091 08204 $$a572.88$$223
001445091 24500 $$aTranscriptomics in health and disease /$$cGeraldo A. Passos, editors.
001445091 250__ $$a2nd ed.
001445091 260__ $$aCham, Switzerland :$$bSpringer,$$c2022.
001445091 300__ $$a1 online resource (473 pages)
001445091 336__ $$atext$$btxt$$2rdacontent
001445091 337__ $$acomputer$$bc$$2rdamedia
001445091 338__ $$aonline resource$$bcr$$2rdacarrier
001445091 500__ $$aIncludes index.
001445091 5050_ $$a1. What is the transcriptome and how it is evaluated? -- 2. ALTERNATIVE SPLICING OF PRE-MESSENGER RNA -- 3. Transcriptome Analysis Using RNA-seq and scRNA-seq -- 4. TRANSCRIPTOMICS OF NEONATAL AND INFANT HUMAN THYMUS -- 5. Transcriptomics at the single cell level and human diseases: opportunities and challenges in data processing and analysis -- 6. METHODS FOR GENE CO-EXPRESSION NETWORK VISUALIZATION AND ANALYSIS -- 7. Comparative Analysis of Packages and Algorithms for the Analysis of Spatially Resolved Transcriptomics Data -- 8. The Interplay Between the Transcriptomics and Proteomics Profiles -- 9. TRANSCRIPTOME DURING NORMAL CELL DIFFERENTIATION -- 10. Transcriptomics to dissect the Immune System -- 11. Transcriptome Profiling in Autoimmune Diseases -- 12. Transcriptome Profiling in Experimental Inflammatory Arthritis -- 13. TRANSCRIPTOMICS AND IMMUNE RESPONSE IN HUMAN CANCER -- 14. MicroRNAs in Cancer -- 15. Oxidative Stress, DNA Damage and Transcriptional Expression of DNA Repair and Stress Response Genes in Diabetes Mellitus -- 16. Large-scale gene expression in monogenic and complex genetic diseases -- 17. Transcriptome in Human Mycoses -- 18. Understanding Chagas Disease by Multi-omics data Integration, Functional and Enrichment Computational Analysis.
001445091 506__ $$aAccess limited to authorized users.
001445091 520__ $$aThe study of transcriptomics is key to understanding complex diseases. This new edition will build on the foundation of the first edition while incorporating the progress that has been made in the field of transcriptomics in the past six years, including bioinformatics for data analysis. Written by leading experts, chapters address new subjects such as methodological advances in large-scale sequencing, the sequencing of single-cells, and spatial transcriptomics. The new edition will address how transcriptomics may be used in combination with genetic strategies to identify causative genes in monogenic and complex genetic diseases. Coverage will also explore transcriptomics in challenging groups of diseases, such as cancer, inflammation, bacterial infection, and autoimmune diseases. The updated volume will be useful for geneticists, genome biologists, biomedical researchers, molecular biologists, bioinformaticians, and students, among others.
001445091 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed March 21, 2022).
001445091 650_0 $$aRNA$$xHealth aspects.
001445091 655_0 $$aElectronic books.
001445091 7001_ $$aPassos, Geraldo A.,$$eeditor.
001445091 77608 $$iPrint version:$$aPassos, Geraldo A.$$tTranscriptomics in Health and Disease.$$dCham : Springer International Publishing AG, ©2022$$z9783030878207
001445091 852__ $$bebk
001445091 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-030-87821-4$$zOnline Access$$91397441.1
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001445091 980__ $$aBIB
001445091 980__ $$aEBOOK
001445091 982__ $$aEbook
001445091 983__ $$aOnline
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