[
](https://github.com/IFIproteomics/LFQbench)
[](https://travis-ci.org/IFIproteomics/LFQbench) [](https://zenodo.org/badge/latestdoi/15862/IFIproteomics/LFQbench)
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### Description
LFQbench[1] is an open source [R package](https://github.com/IFIproteomics/LFQbench) for the automated evaluation of label-free quantification performance. The evaluation bases on the interpretation of the quantitative analysis results of hybrid proteome samples prepared in known ratios[2].
LFQbench calculates and represents graphically a set of qualitative and quantitative performance metrics like identification rates, precision and accuracy of quantification, providing developers and end-users with a standardized set of reports to enable an in-depth performance evaluation of their software and analysis platforms.
#### Acknoledgement
We acknowledge to Jeremy Van der War, author of SDMTools R package, which is no longer maintained. The function auc (area under the curve) has been taken from SDMTools (under GPL license).
### Installation
First, we need to install `devtools`:
install.packages("devtools")
library(devtools)
Then we just call
install_github("IFIproteomics/LFQbench")
library(LFQbench)
### Examples
You may find a complete example on how to use LFQbench at the vignette:
vignette("LFQbench")
### References
[1] Navarro P, Kuharev J, Gillet LC, Bernhardt OM, MacLean B, Röst HL, Tate SA, Tsou C, Reiter L, Distler U, Rosenberger G, Perez-Riverol Y, Nesvizhskii AI, Aebersold R & Tenzer S. A multicenter study benchmarks software tools for label-free proteome quantification. Nature Biotechnology 1546-1696 (2016). DOI: 10.1038/nbt.3685
[2] Kuharev J, Navarro P, Distler U, Jahn O & Tenzer S. In-depth evaluation of software tools for data-independent acquisition based label-free quantification. Proteomics 15, 3140–3151 (2015).