SCelVis: exploratory single cell data analysis on the desktop and in the cloud

BACKGROUND: Single cell omics technologies present unique opportunities for biomedical and life sciences from lab to clinic, but the high dimensional nature of such data poses challenges for computational analysis and interpretation. Furthermore, FAIR data management as well as data privacy and secu...

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Detalles Bibliográficos
Autores principales: Obermayer, Benedikt, Holtgrewe, Manuel, Nieminen, Mikko, Messerschmidt, Clemens, Beule, Dieter
Formato: Online Artículo Texto
Lenguaje:English
Publicado: PeerJ Inc. 2020
Materias:
Bioinformatics
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7035868/
https://www.ncbi.nlm.nih.gov/pubmed/32117635
http://dx.doi.org/10.7717/peerj.8607

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7035868/
https://www.ncbi.nlm.nih.gov/pubmed/32117635
http://dx.doi.org/10.7717/peerj.8607

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