- recipe bioconductor-hpo.db
A set of annotation maps describing the entire Human Phenotype Ontology
- Homepage:
https://bioconductor.org/packages/3.20/data/annotation/html/HPO.db.html
- License:
Artistic-2.0
- Recipe:
Human Phenotype Ontology (HPO) was developed to create a consistent description of gene products with disease perspectives, and is essential for supporting functional genomics in disease context. Accurate disease descriptions can discover new relationships between genes and disease, and new functions for previous uncharacteried genes and alleles.We have developed the [DOSE](https://bioconductor.org/packages/DOSE/) package for semantic similarity analysis and disease enrichment analysis, and `DOSE` import an Bioconductor package 'DO.db' to get the relationship(such as parent and child) between MPO terms. But `DO.db` hasn't been updated for years, and a lot of semantic information is [missing](https://github.com/YuLab-SMU/DOSE/issues/57). So we developed the new package `HPO.db` for Human Human Phenotype Ontology annotation.
- package bioconductor-hpo.db¶
-
- Versions:
0.99.2-0- Depends:
on bioconductor-annotationdbi
>=1.64.0,<1.65.0on bioconductor-annotationhub
>=3.10.0,<3.11.0on bioconductor-biocfilecache
>=2.10.0,<2.11.0on bioconductor-data-packages
>=20231203on curl
on r-base
>=4.3,<4.4.0a0on r-dbi
- Additional platforms:
Installation¶
You need a conda-compatible package manager (currently either pixi, conda, or micromamba) and the Bioconda channel already activated (see Usage). Below, we show how to install with either pixi or conda (for micromamba and mamba, commands are essentially the same as with conda).
Pixi¶
With pixi installed and the Bioconda channel set up (see Usage), to install globally, run:
pixi global install bioconductor-hpo.db
to add into an existing workspace instead, run:
pixi add bioconductor-hpo.db
In the latter case, make sure to first add bioconda and conda-forge to the channels considered by the workspace:
pixi workspace channel add conda-forge
pixi workspace channel add bioconda
Conda¶
With conda installed and the Bioconda channel set up (see Usage), to install into an existing and activated environment, run:
conda install bioconductor-hpo.db
Alternatively, to install into a new environment, run:
conda create -n envname bioconductor-hpo.db
with envname being the name of the desired environment.
Container¶
Alternatively, every Bioconda package is available as a container image for usage with your preferred container runtime. For e.g. docker, run:
docker pull quay.io/biocontainers/bioconductor-hpo.db:<tag>
(see bioconductor-hpo.db/tags for valid values for <tag>).
Integrated deployment¶
Finally, note that many scientific workflow management systems directly integrate both conda and container based software deployment. Thus, workflow steps can be often directly annotated to use the package, leading to automatic deployment by the respective workflow management system, thereby improving reproducibility and transparency. Check the documentation of your workflow management system to find out about the integration.
Download stats¶
Link to this page¶
Render an badge with the following MarkDown:
[](http://bioconda.github.io/recipes/bioconductor-hpo.db/README.html)