cover of episode einprot: flexible, easy-to-use, reproducible workflows for statistical analysis of quantitative proteomics data

einprot: flexible, easy-to-use, reproducible workflows for statistical analysis of quantitative proteomics data

2023/7/30
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PaperPlayer biorxiv bioinformatics

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Link to bioRxiv paper: http://biorxiv.org/cgi/content/short/2023.07.27.550821v1?rss=1

Authors: Soneson, C., Iesmantavicius, V., Hess, D., Stadler, M. B., Seebacher, J.

Abstract: We describe einprot, an R package providing easy-to-use reproducible workflows for quality control, statistical analysis and visualization of quantitative proteomics data. einprot is applicable to tabular output from MaxQuant, Proteome Discoverer and FragPipe, and a single function call generates an html report that describes the full analysis pipeline applied to the data and contains static and interactive figures and tables for further exploration. This has the potential to facilitate routine analyses as well as to provide a standardized, yet comprehensive way to communicate results to collaborators and the broader community. The source file underlying the report is also returned, giving the user full flexibility to further modify the workflow according to their needs.

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