About Asc-Seurat
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.
Please, visit https://asc-seurat.readthedocs.io/en/latest/ for a complete documentation.
Realese notes
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v2.2 - Release on February 8th, 2022
- Add the capacity to load a clustered dataset in the tab for the individual sample analysis.
- Add the capacity to load a clustered dataset in the tab for the integrated sample analysis.
- Genes identified as mitochondrial genes via the regex expression are now shown to the users.
- Changes the color scheme of the dynverse’s plots to match the color scheme used by Seurat’s plots.
- Small changes in the interface to improve usability.
- Fix a bug in the download of markers identified for multiple clusters in the integrated dataset. If a gene was identified as a marker in multiple clusters, a number was appended in the gene’s name.
- Fix a bug that caused the app to crash when searching for conserved markers in an integrated dataset, and the gene was not expressed in one or more of the samples.
- Fix a bug where plots were exported with a dark background.
- Fix a bug in the advanced plots that caused expressed genes not to be identified. When using integrated datasets, the function now looks for the RNA assay instead of the integrated assay.
- Fix a bug where the app would crash when downloading the plots generated in the trajectory inference tab.