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Asc-Seurat (Analytical single-cell Seurat-based web application) is a web application based on Shiny. Pronounced as “ask Seurat”, it provides a click-based, easy-to-install, and easy-to-use interface that allows the execution of all steps necessary for scRNA-seq analysis. It integrates many of the capabilities of the Seurat and Dynverse and also allows an instantaneous functional annotation of genes of interest using BioMart.
Asc-Seurat workflow overview.
To install Asc-Seurat, you need to have Docker installed on your machine. Docker needs to be properly installed and configured in the user's machine. Check the installation instructions provided by Docker at https://docs.docker.com/engine/install.
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v2.1 - Released on May 26th, 2021.
- Changes the assay used for differential expression analysis and visualization to "RNA" when using SCTransform normalization. Therefore, "SCT" assay is used for the steps until clustering the data.
- Changes the output of the differential expression analysis to the format required for the visualization tools.
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v2.0 - Released on May 19th, 2021.
- Inclusion of SCTransform normalization
- Addition of stacked violin plots
- Addition of multiple-genes dot plot
- Improvements on the user interface
- Improvements in the app stability
- Fix of minor bugs.
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v1.0 - Released on March 19th, 2021.
- Release of Asc-Seurat.
Download Asc-Seurat's docker image.
# Download the docker image:
docker pull kirstlab/asc_seurat
# Starts Asc-Seurat on MacOS or Linux
docker run -v $(pwd):/app/user_work -v /var/run/docker.sock:/var/run/docker.sock -d --name Asc_Seurat --rm -p 3838:3838 kirstlab/asc_seurat
# Starts Asc-Seurat using Windows CMD
docker run -v %cd%:/app/user_work -v /var/run/docker.sock:/var/run/docker.sock -d --name Asc_Seurat --rm -p 3838:3838 kirstlab/asc_seurat
# Starts Asc-Seurat using Windows Powershell
docker run -v ${PWD}:/app/user_work -v /var/run/docker.sock:/var/run/docker.sock -d --name Asc_Seurat --rm -p 3838:3838 kirstlab/asc_seurat
✔️ Then, open your preferred web browser and paste the address http://localhost:3838/
Please, visit https://asc-seurat.readthedocs.io/en/latest/ for a complete documentation.
Pereira WJ, Almeida FM, Balmant KM, Rodriguez DC, Triozzi PM, Schmidt HW, Dervinis C, Pappas Jr. GJ, Kirst M. Asc‑Seurat: analytical single‑cell Seurat‑based web application. BMC Bioinformatics 22, 556 (2021).
Pereira WJ, Almeida FM, Balmant KM, Rodriguez DC, Triozzi PM, Schmidt HW, Dervinis C, Pappas Jr. GJ, Kirst M. Asc-Seurat – Analytical single-cell Seurat-based web application. biorxiv, 2021.
Distributed under the GNU General Public License v3.0. See LICENSE
for more information.