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scOntoMatch is an R package which unifies ontology annotation of scRNA-seq datasets to make them comparable across studies.
Author&Maintainer: Yuyao Song ysong@ebi.ac.uk
Large-scale single cell atlases often have curated annotations using a standard ontology system. This package aims to match ontology labels between different datasets to make them comparable across studies.
## from source
install.packages("devtools")
devtools::install_github("Papatheodorou-Group/scOntoMatch")
library(scOntoMatch)
library(ontologyIndex)
First download the ontology .obo
file from the OBO foundry. Common ontologies
include:
Refer to vignette for detailed usage.
Get input ready
adatas = getAdatas(metadata = metadata, sep = "\t")
ont = ontologyIndex::get_OBO(oboFile, propagate_relationships = c('is_a', 'part_of'), )
Trim ontology tree to remove redundant terms
adatas_minimal = ontoMultiMinimal(adatas, ont = ont, anno_col = "cell_ontology_type", onto_id_col = "cell_ontology_id")
Match ontology cross datasets by direct mapping and mapping descendants to ancestor terms.
adatas_matched = ontoMultiMatch(adatas_minimal, ont = ont, anno_col = "cell_ontology_base")
This package also provides convenient plotting functions to help comprehend the hierarchy of cell types in any single cell dataset.
Plot a ontology tree per dataset
plotOntoTree(ont, onts, plot_ancestors=TRUE, ont_query, fontsize = 20)
Plot a matched ontology tree for all datasets
# use 'animal cells' as root
plts = plotMatchedOntoTree(ont = ont, adatas = adatas, anno_col = "cell_ontology_mapped", roots = 'CL:0000548', fontsize=25)
The Single Cell
Expression Atlas hosted at EBI provides uniformly analysed and
annotated scRNA-Seq data across multiple species. Datasets with curated
ontology labels are all great inputs to this package. scRNA-seq data
stored as h5ad files can be downloaded via the ftp
site. Files that has extension .project.h5ad
can be
pass to ontoMatch
with
anno_col = 'authors_cell_type_-_ontology_labels'
.
This package imports functions from ontologyIndex, ontologyPlot and anndata
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.