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pmid:33657803

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

David Morgenstern · Rotem Barzilay · Yishai Levin

Journal of proteome research · 2021 doi:10.1021/acs.jproteome.0c00956

Paper

complete

Experiment

complete

Data

partial

Analysis

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Execution

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Record details sci_version · id · kind · revision · content_hash · schema · created_at · updated_at · generator
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paper object · 10 fields
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title
RawBeans: A Simple, Vendor-Independent, Raw-Data Quality-Control Tool.
doi
10.1021/acs.jproteome.0c00956
pmid
33657803
authors array · 3 items
[0]
David Morgenstern
[1]
Rotem Barzilay
[2]
Yishai Levin
journal
Journal of proteome research
year
2021
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.
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The mass-spectrometry proteomics data have been deposited to the ProteomeXchange Consortium via the PRIDE partner repository with the data set identifier PXD022816.
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The mass-spectrometry proteomics data have been deposited to the ProteomeXchange Consortium via the PRIDE partner repository with the data set identifier PXD022816.
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Proteomic approache of the response to iron-limited condition in Staphylococcus lugdunensis
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RawBeans: a simple, vendor independent, raw-data quality control tool
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Elp2 mutations perturb the epitranscriptome and lead to a complex neurodevelopmental phenotype
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Number of triggered MS/MS spectra per raw file. It includes a test for peak splitting (tribrid instruments only).
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Number of triggered MS/MS events per data-dependent cycle, shown as histograms in Log10 scale.
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Histograms of the precursor charge state based on the triggered MS/MS events.
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Histograms of MS/MS injection time in Log10 scale.
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Graphs of the number of MS/MS events per data-dependent cycle versus the retention time per raw file.
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MS1 injection time per retention time for each raw file.
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Sum of MS1 signals per raw file based on all full MS1 scans. Presented in linear scale.
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Graphs of the number of fragment ions versus the most intense fragment ion (in log10 scale).
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Binned ratios of the precursor ion to the next highest fragment ion intensity per MS/MS scan.
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Density plots of the precursor m/z based on the triggered MS/MS events.
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Chromatographic full width at half-height. A crude measurement of peak width.
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Chromatographic peak symmetry. A crude measurement to show global peak tailing.
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Mass error throughout the run time based on the masses entered in the GUI.
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The mass-spectrometry proteomics data have been deposited to the ProteomeXchange Consortium via the PRIDE partner repository with the data set identifier PXD022816.
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Complete file
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