Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2021 Apr;18(4):327-328.
doi: 10.1038/s41592-021-01102-w.

User-friendly, scalable tools and workflows for single-cell RNA-seq analysis

Affiliations

User-friendly, scalable tools and workflows for single-cell RNA-seq analysis

Pablo Moreno et al. Nat Methods. 2021 Apr.
No abstract available

PubMed Disclaimer

Figures

Figure 1:
Figure 1:
(A) Load matrix data from HCA or SCEA directly into SCiAp Galaxy. (B) Run configurable scRNA-Seq analysis through SCiAp. (C) Inspect results interactively through UCSC-CellBrowser and plots within Galaxy.

References

    1. Afgan E. et al. The Galaxy platform for accessible, reproducible and collaborative biomedical analyses: 2018 update. Nucleic Acids Res. 46, W537–W544 (2018). - PMC - PubMed
    1. Papatheodorou I. et al. Expression Atlas update: from tissues to single cells. Nucleic Acids Res. 48, D77–D83 (2020). - PMC - PubMed
    1. Moreno P. et al. Galaxy-Kubernetes integration: scaling bioinformatics workflows in the cloud. bioRxiv 488643 (2018) doi:10.1101/488643. - DOI
    1. Tekman M. et al. A single-cell RNA-sequencing training and analysis suite using the Galaxy framework. Gigascience 9, (2020). - PMC - PubMed
    1. Wolf FA, Angerer P. & Theis FJ SCANPY: large-scale single-cell gene expression data analysis. Genome Biol. 19, 15 (2018). - PMC - PubMed

Publication types

LinkOut - more resources