This release marks the first set of community-contributed analyses to the added to the repository.
These modules are focused on cell type identification and annotation for specific ScPCA datasets.
Note that many of these modules are still in development at this stage and may not be fully functional.
cell-type-dsrctcell-type-ETP-ALL-03cell-type-glioblastomacell-type-nonETP-ALL-03cell-type-wilms-tumor-06cell-type-wilms-tumor-14
This release also adds the following new modules developed by the Data Lab:
cell-type-consensus: a module for exploring consensus cell types across multiple annotation methodshello-clusters: a demonstration module for clustering analysis using therOpenScPCApackageseurat-conversion: a module for convertingSingleCellExperimentobjects to Seurat objects, also using therOpenScPCApackage
Other updates in this release include:
- a new
sync-results.pyscript to simplify uploading (and downloading) analysis results from an analysis module to a user's S3 bucket - changes from
minicondatominiforgefor conda usage throughout the project
While not part of this repository, we do want to also note that we have created the rOpenScPCA package, which will house utility functions commonly used by analysis modules here.
The goal is to centralize common functions used across analysis modules to make it easier to share code and maintain consistency across modules.