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

David MorgensternRotem BarzilayYishai Levin
Published in: Journal of proteome research (2021)
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.
Keyphrases
  • mass spectrometry
  • electronic health record
  • quality control
  • big data
  • liquid chromatography
  • high resolution
  • capillary electrophoresis
  • human immunodeficiency virus
  • hepatitis c virus
  • hiv testing