A Galaxy-based training resource for single-cell RNA-sequencing quality control and analyses

BACKGROUND: It is not a trivial step to move from single-cell RNA-sequencing (scRNA-seq) data production to data analysis. There is a lack of intuitive training materials and easy-to-use analysis tools, and researchers can find it difficult to master the basics of scRNA-seq quality control and the l...

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Detalles Bibliográficos
Autores principales: Etherington, Graham J, Soranzo, Nicola, Mohammed, Suhaib, Haerty, Wilfried, Davey, Robert P, Palma, Federica Di
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2019
Materias:
Technical Note
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6905351/
https://www.ncbi.nlm.nih.gov/pubmed/31825480
http://dx.doi.org/10.1093/gigascience/giz144

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6905351/
https://www.ncbi.nlm.nih.gov/pubmed/31825480
http://dx.doi.org/10.1093/gigascience/giz144

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