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RawBeans: A Simple, Vendor-Independent, Raw-Data Quality-Control Tool

David Morgenstern, Rotem Barzilay, Yishai Levin

2021Journal of Proteome Research21 citationsDOIOpen Access PDF

Abstract

Every laboratory performing mass-spectrometry-based proteomics strives to generate high-quality data. Among the many factors that impact the outcome of any experiment in proteomics is the LC-MS system performance, which should be monitored within each specific experiment and also long term. This process is termed quality control (QC). We present an easy-to-use tool that rapidly produces a visual, HTML-based report that includes the key parameters needed to monitor the LC-MS system performance, with a focus on monitoring the performance within an experiment. The tool, named RawBeans, generates a report for individual files or for a set of samples from a whole experiment. We anticipate that it will help proteomics users and experts evaluate raw data quality independent of data processing. The tool is available at https://bitbucket.org/incpm/prot-qc/downloads. The mass-spectrometry proteomics data have been deposited to the ProteomeXchange Consortium via the PRIDE partner repository with the data set identifier PXD022816.

Topics & Concepts

Computer scienceRaw dataIdentifierSet (abstract data type)Data qualityProteomicsDatabaseQuality (philosophy)Data miningEngineeringChemistryPhilosophyOperations managementMetric (unit)GeneBiochemistryProgramming languageEpistemologyAdvanced Proteomics Techniques and ApplicationsMetabolomics and Mass Spectrometry StudiesMass Spectrometry Techniques and Applications
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