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ABSTRACT: Motivation
Multiple factors can impact accuracy and reproducibility of mass spectrometry data. There is a need to integrate quality assessment and control into data analytic workflows.Results
The MsQuality package calculates 43 low-level quality metrics based on the controlled mzQC vocabulary defined by the HUPO-PSI on a single mass spectrometry-based measurement of a sample. It helps to identify low-quality measurements and track data quality. Its use of community-standard quality metrics facilitates comparability of quality assessment and control (QA/QC) criteria across datasets.Availability and implementation
The R package MsQuality is available through Bioconductor at https://bioconductor.org/packages/MsQuality.
SUBMITTER: Naake T
PROVIDER: S-EPMC10580266 | biostudies-literature | 2023 Oct
REPOSITORIES: biostudies-literature
Naake Thomas T Rainer Johannes J Huber Wolfgang W
Bioinformatics (Oxford, England) 20231001 10
<h4>Motivation</h4>Multiple factors can impact accuracy and reproducibility of mass spectrometry data. There is a need to integrate quality assessment and control into data analytic workflows.<h4>Results</h4>The MsQuality package calculates 43 low-level quality metrics based on the controlled mzQC vocabulary defined by the HUPO-PSI on a single mass spectrometry-based measurement of a sample. It helps to identify low-quality measurements and track data quality. Its use of community-standard quali ...[more]