The semantic comparisons of Gene Ontology (GO) annotations provide quantitative ways to compute similarities between genes and gene groups, and have became important basis for many bioinformatics analysis approaches. GOSemSim is an R packag
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Use bioconductor-gosemsim to propose a GO semantic-similarity analysis for [gene or gene-product dataset] using [GO annotations], including suitable comparison choices and publication-citation considerations.
Required inputs
[gene or gene-product dataset]
[GO annotations]
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SKILL.md
name: bioconductor-gosemsimdescription: The semantic comparisons of Gene Ontology (GO) annotations provide quantitative ways to compute similarities between genes and gene groups, and have became important basis for many bioinformatics analysis approaches. GOSemSim is an R packagwhen_to_use: "Use when: Measuring semantic similarity among GO terms.; Computing functional similarity among gene products.; Performing GO semantic similarity analyses within stem cell transcriptional networks or other biomedical contexts.. Not for: For general biomedical knowledge mining tasks that do not involve Gene Ontology semantic similarity, refer to broader biomedical knowledge mining resources.; When performing analyses that do not require quantitative semantic comparisons of GO annotat"user-invocable: false
GOSemSim
GOSemSim is an R package designed for semantic similarity analysis among Gene Ontology (GO) terms and gene products.
Dependencies & Environment
Package-intrinsic requirements from the Bioconductor landing page — reproduce in any R environment.
Computing functional similarity among gene products.
Performing GO semantic similarity analyses within stem cell transcriptional networks or other biomedical contexts.
When NOT to Use
For general biomedical knowledge mining tasks that do not involve Gene Ontology semantic similarity, refer to broader biomedical knowledge mining resources.
When performing analyses that do not require quantitative semantic comparisons of GO annotations.
Data Requirements
Gene Ontology (GO) annotations.
Gene and gene product datasets requiring functional similarity comparison.
Key Parameters
No specific R function parameters are detailed in the provided short vignette text. Please refer to the external full documentation for parameter specifications.
When seeking assistance, post questions to the Bioconductor support site and tag the post with GOSemSim.
Cite the appropriate primary publications when using GOSemSim in published research.
Common Pitfalls
Searching for detailed code examples in the package's built-in short vignette; fix this by visiting the external online biomedical knowledge mining book for the complete documentation.
Failing to tag support questions properly; fix this by tagging posts with GOSemSim on the Bioconductor support site.
Alternatives
Other Bioconductor packages designed for functional annotation and enrichment analysis (though GOSemSim is specifically focused on semantic similarity).
Citations
Yu G. Gene Ontology Semantic Similarity Analysis Using GOSemSim. In: Kidder B. (eds) Stem Cell Transcriptional Networks. Methods in Molecular Biology, 2020, 2117:207-215. Humana, New York, NY.
Yu G, Li F, Qin Y, Bo X, Wu Y and Wang S. GOSemSim: an R package for measuring semantic similarity among GO terms and gene products. Bioinformatics, 2010, 26(7):976-978.
This skill is the knowledge layer — when, why, and how to use gosemsim. To run this analysis on your own data with managed compute, automated QC, and reproducible outputs, use BioMate — free to start.