ensembldb
ensembldb provides transcript-centric annotation databases by interfacing with the Ensembl Perl API to access gene and transcript models and their annotations for downstream genomic analyses.
Key Features:
- Direct Integration with Ensembl: Interfaces with the Ensembl Perl API to access gene and transcript models and their annotations.
- Transcript-Centric Annotation: Stores and exposes annotations at the transcript level to support analyses of gene expression, transcriptome structure, and alternative splicing.
- Filter Framework: Implements a versatile filter framework to selectively retrieve annotations for specified entries and criteria.
- Interoperability with Bioconductor: Parallels TxDb packages from the GenomicFeatures Bioconductor project and interoperates with Bioconductor packages for integration into genomic analysis workflows.
Scientific Applications:
- Gene Expression Studies: Provides transcript-level annotations for quantification and comparative gene expression analyses.
- Transcriptome Analysis: Facilitates identification of novel transcripts and analysis of alternative splicing events.
- Functional Genomics: Supports functional studies linking transcript annotations to gene function and regulatory analyses.
Methodology:
Programmatic access via the Ensembl Perl API with efficient querying and retrieval of transcript-centric data and a filter framework for targeted annotation extraction.
Topics
Collections
Details
- License:
- GPL-3.0
- Tool Type:
- command-line tool, library
- Operating Systems:
- Linux, Windows, Mac
- Programming Languages:
- R
- Added:
- 1/17/2017
- Last Updated:
- 11/24/2024
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.