ReUseData
Reusable and reproducible Data Management
Bioconductor version: 3.23 · Package version: 1.12.0
ReUseData is an _R/Bioconductor_ software tool to provide a systematic and versatile approach for standardized and reproducible data management. ReUseData facilitates transformation of shell or other ad hoc scripts for data preprocessing into workflow-based data recipes. Evaluation of data recipes generate curated data files in their generic formats (e.g., VCF, bed). Both recipes and data are cached using database infrastructure for easy data management and reuse. Prebuilt data recipes are available through ReUseData portal ("https://rcwl.org/dataRecipes/") with full annotation and user instructions. Pregenerated data are available through ReUseData cloud bucket that is directly downloadable through "getCloudData()".
Installation
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("ReUseData") Details
| Maintainer | Qian Liu <qian.liu@roswellpark.org> |
| Author | Qian Liu [aut, cre] (ORCID: <https://orcid.org/0000-0003-1456-5099>) |
| License | GPL-3 |
| URL | https://github.com/rworkflow/ReUseData |
| Bug Reports | https://github.com/rworkflow/ReUseData/issues |
| Downloads rank | 174 |
| Source branch | RELEASE_3_23 |
| biocViews | DataImport, ImmunoOncology, Infrastructure, Preprocessing, Software |
Documentation
- ReUseData: Reusable and Reproducible Data Management
- ReUseData: Reusable and Reproducible Data Management - quick start
- ReUseData: Workflow-based Data Recipes for Management of Reusable and Reproducible Data Resources
Download
Dependencies
Imports: Rcwl, RcwlPipelines, BiocFileCache, S4Vectors, stats, tools, utils, methods, jsonlite, yaml, basilisk
Suggests: knitr, rmarkdown, testthat (>= 3.0.0), BiocStyle