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rawDiag - an R package supporting rational LC-MS method optimization for bottom-up proteomics


Trachsel, Christian; Panse, Christian; Kockmann, Tobias; Wolski, Witold Eryk; Grossmann, Jonas; Schlapbach, Ralph (2018). rawDiag - an R package supporting rational LC-MS method optimization for bottom-up proteomics. bioRxiv 304485, Cold Spring Harbor Laboratory.

Abstract

Optimizing methods for liquid chromatography coupled to mass spectrometry (LC-MS) is a non-trivial task. Here we present rawDiag, a software tool supporting rational method optimization by providing MS operator-tailored diagnostic plots of scan level metadata. rawDiag is implemented as R package and can be executed on the command line, or through a graphical user interface (GUI) for less experienced users. The code runs platform independent and can process a hundred raw files in less than three minutes on current consumer hardware as we show by our benchmark. In order to demonstrate the functionality of our package, we included a real-world example taken from our daily core facility business. The R package itself, a shiny demo application, and a Dockerfile that builds the entire architecture from scratch is accessible through a GitHub repository, see https://github.com/protViz/rawDiag

Abstract

Optimizing methods for liquid chromatography coupled to mass spectrometry (LC-MS) is a non-trivial task. Here we present rawDiag, a software tool supporting rational method optimization by providing MS operator-tailored diagnostic plots of scan level metadata. rawDiag is implemented as R package and can be executed on the command line, or through a graphical user interface (GUI) for less experienced users. The code runs platform independent and can process a hundred raw files in less than three minutes on current consumer hardware as we show by our benchmark. In order to demonstrate the functionality of our package, we included a real-world example taken from our daily core facility business. The R package itself, a shiny demo application, and a Dockerfile that builds the entire architecture from scratch is accessible through a GitHub repository, see https://github.com/protViz/rawDiag

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Additional indexing

Item Type:Working Paper
Communities & Collections:04 Faculty of Medicine > Functional Genomics Center Zurich
Dewey Decimal Classification:570 Life sciences; biology
610 Medicine & health
Scopus Subject Areas:Life Sciences > Biochemistry
Physical Sciences > General Chemistry
Language:English
Date:2018
Deposited On:05 Mar 2019 15:23
Last Modified:01 Dec 2023 08:16
Series Name:bioRxiv
Additional Information:Now published in Journal of Proteome Research doi: 10.1021/acs.jproteome.8b00173
OA Status:Green
Publisher DOI:https://doi.org/10.1101/304485
  • Content: Accepted Version