DGIpy
Python wrapper for querying a Drug-Gene Interaction Database (DGIdb) GraphQL API. DGIpy provides drug and gene records, drug-gene interactions, gene categories, source metadata, and FDA drug application information.
Installation
Install from PyPI:
python3 -m pip install dgipy
Usage
DGIpy is built around query functions that fetch data from the public DGIdb API. Results use a column-oriented dictionary: each key is a column name and each value is a list containing that column's values. The examples below show representative output; the contents of the live DGIdb database may change.
>>> from dgipy import get_genes
>>> results = get_genes(["BRAF"])
>>> results["gene_name"][0], results["gene_concept_id"][0], results["gene_aliases"][0][:5]
('BRAF', 'hgnc:1097', ['B-RAF PROTO-ONCOGENE, SERINE/THREONINE KINASE', 'BRAF1', 'BRAF-1', 'UCSC:UC003VWC.5', 'VEGA:OTTHUMG00000157457'])
This orientation enables easy use with the dataframe library of your choosing:
>>> import pandas as pd
>>> pd.DataFrame(results)[["gene_name", "gene_concept_id"]]
gene_name gene_concept_id
0 BRAF hgnc:1097
>>>
>>> import polars as pl # not included in DGIpy dependencies
>>> pl.DataFrame(results).select("gene_name", "gene_concept_id")
shape: (1, 2)
┌───────────┬─────────────────┐
│ gene_name ┆ gene_concept_id │
│ --- ┆ --- │
│ str ┆ str │
╞═══════════╪═════════════════╡
│ BRAF ┆ hgnc:1097 │
└───────────┴─────────────────┘
Available queries
| Function | Description |
|---|---|
get_drugs(terms, ...) |
Look up drug records by name. |
get_genes(terms, ...) |
Look up gene records by name. |
get_interactions(terms, ...) |
Find drug-gene interactions by gene or drug name. |
get_categories(terms, ...) |
Find category annotations for genes. |
get_sources(source_type=None, ...) |
List DGIdb source metadata, optionally filtered by SourceType. |
get_all_genes(...) |
List all gene names and concept identifiers. |
get_all_drugs(...) |
List all drug names and concept identifiers. Import this function from dgipy.dgidb. |
get_interaction_types(...) |
List interaction claim-type metadata. |
get_drug_applications(terms, ...) |
Combine DGIdb application identifiers with Drugs@FDA product data. |
The query functions accept an optional api_url argument when querying a DGIdb v5
instance other than the public endpoint:
from dgipy import get_genes
genes = get_genes(["BRAF"], api_url="https://example.org/api/graphql")
Development
Clone the repo and create a virtual environment:
git clone https://github.com/genomicmedlab/dgipy
cd dgipy
python3 -m virtualenv venv
source venv/bin/activate
Install development dependencies and pre-commit:
python3 -m pip install -e '.[dev,tests]'
pre-commit install
Check style with ruff:
python3 -m ruff format . && python3 -m ruff check --fix .
Run tests with pytest:
pytest
Metadata
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Total release size: 348.7 kB
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