Easyreporting simplifies the implementation of Reproducible Research layers in R software

During last years irreproducibility became a general problem in omics data analysis due to the use of sophisticated and poorly described computational procedures. For avoiding misleading results, it is necessary to inspect and reproduce the entire data analysis as a unified product. Reproducible Research (RR) provides general guidelines for public access to the analytic data and related analysis code combined with natural language documentation, allowing third-parties to reproduce the findings. We developed easyreporting, a novel R/Bioconductor package, to facilitate the implementation of an RR layer inside reports/tools. We describe the main functionalities and illustrate the organization of an analysis report using a typical case study concerning the analysis of RNA-seq data. Then, we show how to use easyreporting in other projects to trace R functions automatically. This latter feature helps developers to implement procedures that automatically keep track of the analysis steps. Easyreporting can be useful in supporting the reproducibility of any data analysis project and shows great advantages for the implementation of R packages and GUIs. It turns out to be very helpful in bioinformatics, where the complexity of the analyses makes it extremely difficult to trace all the steps and parameters used in the study.

Automated summary

Irreproducibility has become a general problem in omics data analysis in recent years due to the use of sophisticated and poorly described computational procedures. To avoid misleading results, it is necessary to inspect and reproduce the entire data analysis. Reproducible Research provides guidelines for public access to analytic data and related analysis code combined with natural language documentation, allowing third-parties to reproduce findings.