Cargando…

Pkgndep: a tool for analyzing dependency heaviness of R packages

SUMMARY: Numerous R packages have been developed for bioinformatics analysis in the last decade and dependencies among packages have become critical issues to consider. In this work, we proposed a new metric named dependency heaviness that measures the number of dependencies that a parent uniquely b...

Descripción completa

Detalles Bibliográficos
Autores principales: Gu, Zuguang, Hübschmann, Daniel
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9438947/
https://www.ncbi.nlm.nih.gov/pubmed/35801905
http://dx.doi.org/10.1093/bioinformatics/btac449
_version_ 1784781940839153664
author Gu, Zuguang
Hübschmann, Daniel
author_facet Gu, Zuguang
Hübschmann, Daniel
author_sort Gu, Zuguang
collection PubMed
description SUMMARY: Numerous R packages have been developed for bioinformatics analysis in the last decade and dependencies among packages have become critical issues to consider. In this work, we proposed a new metric named dependency heaviness that measures the number of dependencies that a parent uniquely brings to a package and we proposed possible solutions for reducing the complexity of dependencies by optimizing the use of heavy parents. We implemented the metric in a new R package pkgndep which provides an intuitive way for dependency heaviness analysis. Based on pkgndep, we additionally performed a global analysis of dependency heaviness on CRAN and Bioconductor ecosystems and we revealed top packages that have significant contributions of high dependency heaviness to their child packages. AVAILABILITY AND IMPLEMENTATION: The package pkgndep and documentations are freely available from the Comprehensive R Archive Network https://cran.r-project.org/package=pkgndep. The dependency heaviness analysis for all 22 076 CRAN and Bioconductor packages retrieved on June 8, 2022 are available at https://pkgndep.github.io/. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.
format Online
Article
Text
id pubmed-9438947
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher Oxford University Press
record_format MEDLINE/PubMed
spelling pubmed-94389472022-09-06 Pkgndep: a tool for analyzing dependency heaviness of R packages Gu, Zuguang Hübschmann, Daniel Bioinformatics Applications Note SUMMARY: Numerous R packages have been developed for bioinformatics analysis in the last decade and dependencies among packages have become critical issues to consider. In this work, we proposed a new metric named dependency heaviness that measures the number of dependencies that a parent uniquely brings to a package and we proposed possible solutions for reducing the complexity of dependencies by optimizing the use of heavy parents. We implemented the metric in a new R package pkgndep which provides an intuitive way for dependency heaviness analysis. Based on pkgndep, we additionally performed a global analysis of dependency heaviness on CRAN and Bioconductor ecosystems and we revealed top packages that have significant contributions of high dependency heaviness to their child packages. AVAILABILITY AND IMPLEMENTATION: The package pkgndep and documentations are freely available from the Comprehensive R Archive Network https://cran.r-project.org/package=pkgndep. The dependency heaviness analysis for all 22 076 CRAN and Bioconductor packages retrieved on June 8, 2022 are available at https://pkgndep.github.io/. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online. Oxford University Press 2022-07-08 /pmc/articles/PMC9438947/ /pubmed/35801905 http://dx.doi.org/10.1093/bioinformatics/btac449 Text en © The Author(s) 2022. Published by Oxford University Press. https://creativecommons.org/licenses/by-nc/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial License (https://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com
spellingShingle Applications Note
Gu, Zuguang
Hübschmann, Daniel
Pkgndep: a tool for analyzing dependency heaviness of R packages
title Pkgndep: a tool for analyzing dependency heaviness of R packages
title_full Pkgndep: a tool for analyzing dependency heaviness of R packages
title_fullStr Pkgndep: a tool for analyzing dependency heaviness of R packages
title_full_unstemmed Pkgndep: a tool for analyzing dependency heaviness of R packages
title_short Pkgndep: a tool for analyzing dependency heaviness of R packages
title_sort pkgndep: a tool for analyzing dependency heaviness of r packages
topic Applications Note
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9438947/
https://www.ncbi.nlm.nih.gov/pubmed/35801905
http://dx.doi.org/10.1093/bioinformatics/btac449
work_keys_str_mv AT guzuguang pkgndepatoolforanalyzingdependencyheavinessofrpackages
AT hubschmanndaniel pkgndepatoolforanalyzingdependencyheavinessofrpackages