mzRAPP: a tool for reliability assessment of data pre-processing in non-targeted metabolomics.

El Abiead, Yasin; Milford, Maximilian; Salek, Reza M; Koellensperger, Gunda · Bioinformatics · 2021

basic_science · Level V

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Abstract

Reliability assessment of automated pre-processing of liquid chromatography-high resolution mass spectrometry data presents a significant challenge. Here, we present a tool named mzRAPP, which generates and validates a benchmark from user-supplied information and later utilizes it for reliability assessment of data pre-processing. As a result, mzRAPP produces several performance metrics for different steps of the pre-processing workflow, supporting five of the most commonly used pre-processing tools. mzRAPP is implemented in R and can be downloaded from GitHub under GNU GPL v.3.0 licence. Extensive documentation, background and examples are available at (https://github.com/YasinEl/mzRAPP). Supplementary data are available at Bioinformatics online.