Cargando…
MatrixQCvis: shiny-based interactive data quality exploration for omics data
MOTIVATION: First-line data quality assessment and exploratory data analysis are integral parts of any data analysis workflow. In high-throughput quantitative omics experiments (e.g. transcriptomics, proteomics and metabolomics), after initial processing, the data are typically presented as a matrix...
| Autores principales: | , |
|---|---|
| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Oxford University Press
2021
|
| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8796383/ https://www.ncbi.nlm.nih.gov/pubmed/34788796 http://dx.doi.org/10.1093/bioinformatics/btab748 |