The prolfqua package integrates essential steps of the mass spectrometry based label free quantification data analysis workflow: quality control, data normalization, protein aggregation, modeling, hypothesis testing and sample size estimation. We use prolfqua to : develop highly customizable, visually appealing, and interactive data analysis reports in pdf or HTML format; to visualize and model simple experimental designs with a single explanatory variable and complex experiments with multiple factors; to benchmark data acquisition, data preprocessing or data modeling methods. We developed and improved the package by applying the "Eating your own dog food" principle, making it easy to use.
Package details |
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Bioconductor views | ExperimentHubSoftware MassSpectrometry Metabolomics Normalization Preprocessing Proteomics QualityControl |
Maintainer | |
License | MIT + file LICENSE |
Version | 1.3.6 |
URL | https://github.com/wolski/prolfqua |
Package repository | View on GitHub |
Installation |
Install the latest version of this package by entering the following in R:
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