genomes
genomes provides an extensible R-based collection of packages for analysis and interpretation of high-throughput genomic and molecular biology data.
Key Features:
- Interoperability: Comprising 934 packages, it enables integration across bioinformatics and statistical applications.
- Package validation and testing: Each package undergoes formal initial review and continuous automated testing to maintain quality and reliability.
- Analytical coverage: Offers a suite of tools supporting sequence analysis, gene expression profiling, and other high-throughput genomic analyses.
Scientific Applications:
- Genomics: Supports sequence analysis and gene expression profiling for genomic investigations.
- Molecular Biology: Facilitates exploration of molecular biology datasets derived from high-throughput experiments.
- Interdisciplinary research: Provides tools for combined bioinformatics and statistical analyses across diverse scientific disciplines.
Methodology:
Implements analyses in the statistical programming language R, leveraging R for data manipulation, visualization, and statistical modeling.
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:
- 11/25/2024
Operations
Data Inputs & Outputs
Data retrieval
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.