Bionty.
Project description
Bionty
Biological ontologies for data scientists: look up, search, inspect, and map terms.
To manage custom bio-registries along with public ontologies, see this LaminDB guide: {doc}docs:biology/registries.
Entities
Gene- Ensembl, NCBI Gene, HGNC, MGIProtein- UniprotSpecies- NCBI Taxonomy, Ensembl SpeciesCellLine- Cell Line OntologyCellType- Cell OntologyCellMarker- CellMarkerTissue- UberonDisease- Mondo, Human DiseasePhenotype- Human Phenotype, Mammalian Phenotype, Zebrafish PhenotypePathway- Gene Ontology, Pathway OntologyExperimentalFactor- Experimental Factor OntologyDrug- Drug OntologyBFXPipeline- largely based on nf-core
Check out sources.yaml for details.
Didn't see your favorite source or version? Bionty is extendable!
Installation
Bionty is a Python package available for
pip install bionty
Usage overview & quickstart
import bionty as bt
Look up terms with auto-complete
lookup = bt.ExperimentalFactor().lookup()
# access via Python-friendly keys
lookup.single_cell_rna_sequencing
# access via dictionary
lookup_dict = lookup.dict()
lookup_dict["single-cell RNA sequencing"]
Search ontology terms
celltype_bionty = bt.CellType()
# Free text search against a field
celltype_bionty.search("gamma delta T cell")
Inspect & map terms
gene_bionty = bt.Gene()
# Inspect if the gene symbols are mappable onto the reference
gene_bionty.inspect(["A1BG", "FANCD1"], gene_bionty.symbol)
# Map synonyms of gene symbols
gene_bionty.map_synonyms(["A1BG", "FANCD1"])
Access a reference DataFrame
# Reference table of the human genes
df = bt.Gene(species="human").df()
Track ontology sources
# Display currently used sources
bt.display_currently_used_sources()
# Display all managed sources
bt.display_available_sources()
# Local yaml file specifying all managed sources
bt.LOCAL_SOURCES
# Access to the Mondo ontology
disease = bt.Disease(source="mondo")
# Access to the Human Disease ontology
disease = bt.Disease(source="doid", version="2023-01-30")
Documentation
Read the docs.
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