rols
rols provides programmatic access to the Ontology Lookup Service (OLS) from R to retrieve ontology terms and associated metadata for ontology-based annotation and integration of genomics and molecular biology datasets.
Key Features:
- Ontology Access: rols retrieves ontology terms and associated metadata from the Ontology Lookup Service (OLS) directly within R.
- Querying Capabilities: rols performs queries against OLS using keywords and ontology identifiers to locate specific terms and term metadata.
- Bioconductor Interoperability: rols integrates with the Bioconductor ecosystem to enable combined use with other R/Bioconductor packages for high-throughput genomics analyses.
Scientific Applications:
- Annotation of Genomic Datasets: rols supplies ontology terms and metadata to annotate genomic datasets for downstream analysis and interpretation.
- Data Integration Across Studies: rols facilitates mapping and harmonization of terms across datasets by providing standardized ontology identifiers and metadata.
- Terminology Standardization and Interpretation: rols supports standardization of biological terminology and aids interpretation of complex molecular biology and genomics data.
Methodology:
Interfacing with the Ontology Lookup Service (OLS) from R to perform queries that retrieve ontology terms and metadata based on keywords or identifiers.
Topics
Collections
Details
- License:
- GPL-2.0
- Tool Type:
- command-line tool, library
- Operating Systems:
- Linux, Windows, Mac
- Programming Languages:
- R
- Added:
- 1/17/2017
- Last Updated:
- 11/25/2024
Operations
Data Inputs & Outputs
Classification
Publications
Huber W, Carey VJ, Gentleman R, Anders S, Carlson M, Carvalho BS, Bravo HC, Davis S, Gatto L, Girke T, Gottardo R, Hahne F, Hansen KD, Irizarry RA, Lawrence M, Love MI, MacDonald J, Obenchain V, Oleś AK, Pagès H, Reyes A, Shannon P, Smyth GK, Tenenbaum D, Waldron L, Morgan M. Orchestrating high-throughput genomic analysis with Bioconductor. Nature Methods. 2015;12(2):115-121. doi:10.1038/nmeth.3252. PMID:25633503. PMCID:PMC4509590.