This is the released version of ReUseData; for the devel version, see ReUseData.
Reusable and reproducible Data ManagementBioconductor version: Release (3.21)
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()".
Author: Qian Liu [aut, cre] ORCID: 0000-0003-1456-5099
Maintainer: Qian Liu <qian.liu at roswellpark.org>
Citation (from within R, entercitation("ReUseData")
): Installation
To install this package, start R (version "4.5") and enter:
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("ReUseData")
For older versions of R, please refer to the appropriate Bioconductor release.
DocumentationTo view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("ReUseData")
Details biocViews DataImport, ImmunoOncology, Infrastructure, Preprocessing, Software Version 1.8.0 In Bioconductor since BioC 3.17 (R-4.3) (2 years) License GPL-3 Depends Imports Rcwl, RcwlPipelines, BiocFileCache, S4Vectors, stats, tools, utils, methods, jsonlite, yaml, basilisk System Requirements URL https://github.com/rworkflow/ReUseData Bug Reports https://github.com/rworkflow/ReUseData/issues See More Package Archives
Follow Installation instructions to use this package in your R session.
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