AnnotationHub
AnnotationHub provides centralized access to curated genomic files (VCF, BED, WIG) and associated metadata from sources such as UCSC Genome Browser and Ensembl for high-throughput genomics analyses within the Bioconductor/R ecosystem.
Key Features:
- Centralized Data Access: Discover and retrieve genomic files and resources including VCF, BED, and WIG files from repositories such as UCSC Genome Browser and Ensembl.
- Metadata Integration: Each resource is distributed with structured metadata including textual descriptions, tags, and modification dates.
- Local Caching: The client manages a local cache of retrieved files to preserve access to downloaded resources and support reproducibility.
- Interoperability with Bioconductor Packages: Resources are provided for use within the Bioconductor/R ecosystem to enable integration with other Bioconductor packages.
Scientific Applications:
- Genomic Variant Analysis: Access variant datasets for analyses of genetic variation across samples or populations.
- Epigenetic Studies: Retrieve datasets relevant to epigenetic modifications and regulatory element annotation.
- Transcriptomics Research: Obtain transcriptome-related annotations and files to support RNA-seq and other transcriptomic analyses.
Methodology:
Client-managed local caching of retrieved files; repository entries include structured metadata; Bioconductor packages undergo formal initial review and continuous automated testing.
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
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.