CHANGELOG
As of November 2023, the CHANGELOG is a feature of our documentation we’ll use to report and summarize changes to downloads from the ScPCA Portal.
You can find more information about how and when your download was prepared in the following places:
The date your download was packaged (
Generated on: {date}) is included at the top of the README in your download.The version of the
AlexsLemonade/scpca-nfpipeline used to process data in your download is included in theworkflow_versioncolumn of thesingle_cell_metadata.tsvorbulk_metadata.tsvfile in your download. For more information aboutAlexsLemonade/scpca-nfversions, please see the releases page on GitHub.
2024.04.11
Cell type annotations are now included in each download. Cells were annotated using both
SingleRandCellAssign.You can find more information about how cell types were annotated in the cell type annotation procedures section on the Processing Information page. For more information on locating cell type annotations and any associated processing information in the downloaded objects see the Single-cell gene expression file contents page.
Downloads also contain a separate cell type report providing more information about cell type annotations, including comparisons between different cell type annotations and diagnostic assessments of cell type annotation reliability.
Sample metadata now includes two additional pieces of information which can be used to filter datasets: Whether the given sample is a patient-derived xenograft, and whether the sample is derived from a cell line.
Processed
SingleCellExperimentobjects no longer include the fullmiQCresult object in their metadata, but themiQCobject is still available in the filteredSingleCellExperimentobjects.Download files with
SingleCellExperimentobjects now usebz2compression. This means the file sizes will be much smaller, but you may notice slower read times when loading them into R.This release additionally includes community-contributed projects. Community-contributed projects are 10x Genomics single-cell or single-nuclei datasets that have been processed with the ScPCA pipeline. Please refer to the contributions page for more information about community contributions.
2024.03.08
Downloads for most projects are now available in
AnnDataformat as HDF5 files. Multiplexed samples are not yet supported.The sample metadata found in
single_cell_metadata.tsvhas been updated to include ontology term ids for age, sex, organism, ethnicity, diagnosis, and tissue location, when available. See the section describing Metadata on the Downloadable Files page.All samples now have an assigned
participant_id, which can be found insingle_cell_metadata.tsv. Previously, aparticipant_idwas only assigned when multiple samples mapped to the same participant for most projects.All data files now include both the gene expression data and metadata for each sample (e.g., age, sex, organism, ethnicity, diagnosis, and tissue location). For more information on the contents of the data files, see the Single-cell gene expression file contents page.
Data files will include cell type annotations provided by submitters when applicable.
2023.11.10
The README included in your download now contains the following:
More information about how to cite the ScPCA Portal (see also: How to Cite).
The date your download was packaged (
Generated on: {date}) at the top of the file.
The root directory of your download will contain the date you accessed and downloaded data from the ScPCA Portal when uncompressed.