genbankr
genbankr parses and represents GenBank files in R/Bioconductor to enable extraction and analysis of nucleotide sequences and annotations for genomics and molecular biology research.
Key Features:
- Bioconductor integration: Operates within the Bioconductor framework in R to access and manipulate GenBank-formatted nucleotide sequence and annotation data.
- Interoperability: Works with other Bioconductor packages to support combined analyses and data exchange within Bioconductor workflows.
Scientific Applications:
- Sequence analysis: Extracts nucleotide sequences and feature annotations from GenBank files for comparative, evolutionary, and functional analyses.
- Data integration: Facilitates combining GenBank-derived sequence and annotation data with other biological datasets in R for multi-dimensional analyses.
- Collaborative research: Supports reproducible analyses of GenBank data within Bioconductor workflows to enable interdisciplinary collaboration.
Methodology:
Parses and interprets GenBank files using R's data structures and statistical programming capabilities within the Bioconductor environment.
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.