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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: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2021
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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 |