| Autor: |
Daniel Huebschmann, Zuguang Gu |
| Rok vydání: |
2022 |
| Předmět: |
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| Zdroj: |
Bioinformatics (Oxford, England). 38(17) |
| ISSN: |
1367-4811 |
| Popis: |
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. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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