AnnotationForge
AnnotationForge generates annotation packages and associated databases for use with AnnotationDbi in Bioconductor to enable annotation of high-throughput genomic and molecular biology data in R.
Key Features:
- Annotation package generation: Generates comprehensive Bioconductor-compatible annotation packages containing mappings between identifiers and biological annotations.
- Database integration: Produces accompanying database components and metadata suitable for integration with AnnotationDbi.
- Interoperability with Bioconductor: Ensures compatibility of generated packages with other Bioconductor packages and workflows in R.
- Testing and validation: Supports testing of generated packages within the Bioconductor framework to verify accuracy and reliability.
Scientific Applications:
- Genomic data analysis: Provides annotation resources to aid interpretation of gene function, regulation, and genomic features.
- Molecular biology research: Supplies curated annotations to support analysis of molecular datasets and pathway studies.
- Integrative bioinformatics: Enables integration of annotation data into statistical and computational analyses performed within Bioconductor.
Methodology:
Users supply raw data or existing annotations, the software processes these inputs to create annotation packages with metadata and database components, and packages are tested within the Bioconductor framework to ensure accuracy.
Topics
Collections
Details
- License:
- Artistic-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
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.