MetaR
MetaR provides a language-workbench-based framework that defines domain-specific languages and generates R code to package and distribute analytical methods for biological data analysis.
Key Features:
- Language Workbench Technology (LWT): Leverages language workbench technology to support development of domain-specific languages for bioinformatics analyses.
- Domain-Specific Languages: Enables creation of tailored languages that encapsulate state-of-the-art analytical methods for specific biological tasks.
- R Integration: Generates R code compatible with the R ecosystem to interoperate with existing R libraries and workflows.
- Method Packaging and Distribution: Allows method developers to package advanced analysis techniques into MetaR language constructs for distribution.
Scientific Applications:
- Genomics: Applied to analysis of large-scale genomic datasets requiring specialized analytical methods.
- Proteomics: Applied to processing and analysis of proteomic data and associated quantitative workflows.
- Systems Biology: Applied to systems-level data integration and modeling where composite analytical constructs are required.
Methodology:
Implements language workbench technology to define domain-specific languages that generate R code for packaging and distribution of analytical methods.
Topics
Details
- Tool Type:
- command-line tool
- Programming Languages:
- R, Java
- Added:
- 1/9/2020
- Last Updated:
- 12/28/2020
Operations
Publications
Campagne F, Digan WE, Simi M. MetaR: simple, high-level languages for data analysis with the R ecosystem. Unknown Journal. 2015. doi:10.7287/peerj.preprints.1465v2.