HELP
HELP provides analysis and interpretation of high-throughput genomic and molecular biology data using R and the Bioconductor project’s 934 interoperable packages.
Key Features:
- Package Ecosystem: Contains 934 interoperable Bioconductor packages for genomic and molecular data analysis.
- R-Based Framework: Utilizes the statistical programming language R to implement statistical and bioinformatics tools.
- Interoperability: Packages are designed to work together to support flexible data analysis workflows.
- Open-Source Development: Developed openly with contributions from a diverse scientific community.
- Package Review and Automated Testing: Packages undergo rigorous initial review and continuous automated testing to ensure reliability and accuracy in analyses.
Scientific Applications:
- Genomics and Molecular Biology: Supports analysis and interpretation of high-throughput sequencing and other molecular biology datasets.
- Interdisciplinary Research: Provides tools bridging biology, statistics, and computer science to enable collaborative research across domains.
Methodology:
Packages undergo rigorous initial review and continuous automated testing to ensure reliability and accuracy in data analysis.
Topics
Collections
Details
- License:
- GPL-2.0
- Tool Type:
- command-line tool, library
- Operating Systems:
- 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.