Vitessce supports several data types (
datasets.files.type in the JSON-based view config) which denote in an abstract sense the type of observations contained in a file. For each data type, Vitessce may support multiple file types (
datasets.files.fileType) which denote specific schemas and file formats that Vitessce knows how to read.
For example, a file that conforms to the
cells data type may contain embedding (e.g. UMAP and PCA) coordinates for each cell. But depending on which file format is more convenient, you may opt to use the
anndata-cells.zarr file type.
Data Types and File Types
|Data Type||File Types||Convert from...|
Cells, their positions (spatially and for dimensionality-reduction scatterplots), their segmentations as polygons, and other per-cell attributes.
Spatially-resolved molecules such as individual RNA molecules measured by FISH assays.
Lists or hierarchies of cell sets, used to store cell type assignments or automated clustering results.
Multi-scale multiplexed imaging data, including pointers to OME-TIFF files and Zarr stores.
Gene expression matrices.
Genomic profiles, such as ATAC-seq profiles.