From 6304d3cce64a7e6294fd1ccc833c8db2a5d3f541 Mon Sep 17 00:00:00 2001 From: Ricardo Wurmus Date: Fri, 3 Nov 2023 15:46:44 +0100 Subject: [PATCH] gnu: Add r-mpo-db. * gnu/packages/bioconductor.scm (r-mpo-db): New variable. Change-Id: I88f21ac585d10f2763656b458f015b95a8a8bcfe --- gnu/packages/bioconductor.scm | 33 +++++++++++++++++++++++++++++++++ 1 file changed, 33 insertions(+) diff --git a/gnu/packages/bioconductor.scm b/gnu/packages/bioconductor.scm index c8498e9097..21938a2e5f 100644 --- a/gnu/packages/bioconductor.scm +++ b/gnu/packages/bioconductor.scm @@ -98,6 +98,39 @@ It retrieves this data from the Genome Aggregation Database (@code{gnomAD} version 3.1.2) for the human genome version GRCh38.") (license license:artistic2.0))) +(define-public r-mpo-db + (package + (name "r-mpo-db") + (version "0.99.7") + (source + (origin + (method url-fetch) + (uri (bioconductor-uri "MPO.db" version + 'annotation)) + (sha256 + (base32 "0x1rcikg189akbd71yh0p02482km9hry6i69s2srdf5mlgqficvl")))) + (properties `((upstream-name . "MPO.db"))) + (build-system r-build-system) + (propagated-inputs + (list r-annotationdbi r-annotationhub r-biocfilecache r-dbi)) + (native-inputs (list r-knitr)) + (home-page "https://github.com/YuLab-SMU/MPO.db") + (synopsis "set of annotation maps describing the Mouse Phenotype Ontology") + (description + "This is the human disease ontology R package HDO.db, which provides the +semantic relationship between human diseases. Relying on the DOSE and +GO@code{SemSim} packages, this package can carry out disease enrichment and +semantic similarity analyses. Many biological studies are achieved through +mouse models, and a large number of data indicate the association between +genotypes and phenotypes or diseases. The study of model organisms can be +transformed into useful knowledge about normal human biology and disease to +facilitate treatment and early screening for diseases. Organism-specific +genotype-phenotypic associations can be applied to cross-species phenotypic +studies to clarify previously unknown phenotypic connections in other species. +Using the same principle to diseases can identify genetic associations and +even help to identify disease associations that are not obvious.") + (license license:artistic2.0))) + (define-public r-org-eck12-eg-db (package (name "r-org-eck12-eg-db")