microRNA
microRNA analyzes and manipulates microRNA (miRNA) data using Bioconductor and the R programming language for high-throughput genomic and molecular biology analyses.
Key Features:
- Integration with Bioconductor: Built on the Bioconductor framework and the R programming language, providing interoperable packages for bioinformatics and statistical analysis.
- Extensive Package Repository: Access to over 934 Bioconductor packages contributed by the scientific community for miRNA research.
- Interdisciplinary Research Support: Supports interdisciplinary development and contributions from researchers across different fields to extend analytical capabilities.
- Quality Assurance: Packages undergo formal initial review and continuous automated testing within Bioconductor to ensure reliability and accuracy.
Scientific Applications:
- Genomic Data Analysis: Handles high-throughput genomic data to enable comprehensive miRNA profiling and expression studies.
- Molecular Biology Research: Enables exploration of miRNA interactions and their regulatory roles in gene expression.
Methodology:
Statistical programming in R and the interoperability of Bioconductor packages enable integration of various analytical techniques for high-throughput data analysis.
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
Data Inputs & Outputs
Data handling
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.