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003			ES-MaUEC
005			20230102122006.0
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007			cr nn 008mamaa
008			220307s2022 sz | o |||| 0|eng d
020			_a9783030878214
024	7		_a10.1007/978-3-030-87821-4 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC
050		4	_aQP620 _b2022 EB
245	0	0	_aTranscriptomics in Health and Disease _cedited by Geraldo A. Passos
250			_a2nd edition 2022
264		1	_aCham _bSpringer International Publishing _c2022
300			_a1 recurso en línea (XI, 474 páginas) _b67 ilustraciones, 62 ilustraciones a color
336			_atexto _btxt _2rdacontent
337			_aelectrónico _bc _2rdamedia
338			_arecurso electrónico _bcr _2rdacarrier
347			_aarchivo de texto _bPDF
505	0		_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.
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.
988			_aSpringer_BiomedLife_2022
650		7	_2embne _9140525 _aÁcidos nucleicos
700			_aPassos, Geraldo A. _eeditor literario _986874
773	0		_tSpringer Nature eBook
776	0	8	_iPrinted edition: _z9783030878207
776	0	8	_iPrinted edition: _z9783030878221
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-030-87821-4 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
998			_b09/2022 _dz _eb _zSI