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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...

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Detalles Bibliográficos
Autores principales: Naake, Thomas, Huber, Wolfgang
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