of prior biological knowledge, and annotate cells. Problem There’s no standard source of accumulated annotations with associated molecular data for researchers to explore
groups end up annotating (potentially millions of) cells manually, which results in cells with inconsistent terms and labelings between groups. • This approach cannot scale. • There's no medium for researchers to compare annotations across studies, potentially resolving con f l icting results/ nomenclatures. • No central location to access annotations used in publications.
store annotations • Allow users to compare annotations (with associated molecular pro f i les) within and across datasets • Provide a medium for researchers to converge upon a consensus nomenclature • Standardize collections of annotations, empowering researchers to reproduce analyses • Enable automated cell annotation methods
f f erential expression analysis • Access embeddings “CellCards” View • CellName de f i nitions • Molecular signatures + marker genes • Related datasets
nitions • CellSets: cell labels mapped to cell IDs • Metadata: species, protocol, organ, tissue Parsing User Prompt Type of Files •AnnData •Seurat •Loom • CAP f i le format Project • Collection of Annotations associated with a username • Access for collaborators • Ability to edit, view annotations Upload Methods •GUI •CLI (ftp for bulk uploads) •git tracking
nitions • CellSets: cell labels mapped to cell IDs • Metadata: species, protocol, organ, tissue User Prompt Type of Files •AnnData •Seurat •Loom • CAP f i le format Git Tracking Command Line Interface (CLI) Options
nitions • CellSets: cell labels mapped to cell IDs • Metadata: species, protocol, organ, tissue Parsing User Prompt Type of Files •AnnData •Seurat •Loom • CAP f i le format Error Handling Upload Methods •GUI •CLI (ftp for bulk uploads) •git tracking