Cargando…
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...
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: | |
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 |
Ejemplares similares
-
GeneSeqToFamily: a Galaxy workflow to find gene families based on the Ensembl Compara GeneTrees pipeline
por: Thanki, Anil S, et al.
Publicado: (2018) -
A single-cell RNA-sequencing training and analysis suite using the Galaxy framework
por: Tekman, Mehmet, et al.
Publicado: (2020) -
Aequatus: an open-source homology browser
por: Thanki, Anil S, et al.
Publicado: (2018) -
NCBI BLAST+ integrated into Galaxy
por: Cock, Peter J. A., et al.
Publicado: (2015) -
ReGaTE: Registration of Galaxy Tools in Elixir
por: Doppelt-Azeroual, Olivia, et al.
Publicado: (2017)