Transcriptomics in Health and Disease
portes grátis
Transcriptomics in Health and Disease
Passos, Geraldo A.
Springer Nature Switzerland AG
03/2022
474
Dura
Inglês
9783030878207
15 a 20 dias
893
Descrição não disponível.
1. 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. OxidativeStress, 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.
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bioinformatics;large-scale sequencing;spatial transcriptomics;genetic diseases;cancer;inflammation;bacterial infection;proteomics;mRNA;RNA-seq;biomarkers;transcriptome analysis;gene coexpression;TCR beta;T-cell;autoimmune diseases
1. 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. OxidativeStress, 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.
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
