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# QC working group teleconference 9 August 2023 | ||
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- Chris Bielow | ||
- Wout Bittremieux | ||
- Nils Hoffmann | ||
- Mathias Walzer | ||
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--- | ||
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## Controlled vocabulary | ||
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Mathias & Chris will do a final review of [PR206](https://github.com/HUPO-PSI/psi-ms-CV/pull/206) with the MsQuality terms so that it can be merged. | ||
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How should we represent spectrum counts in the CV: as absolute counts or relative percentages? | ||
- The current example relates to the number of MS/MS spectra identified as a contaminant peptide, but this is a more general question as well. | ||
- QuaMeter has previously used relative ratios. | ||
- In contrast, ratios can be derived from absolute counts complemented by the total number of spectra. | ||
- Mathias will reflect on how to best represent this based on how this metric will be used for QC reporting and ask for feedback afterwards. | ||
As a side note: the relative intensity of contaminants could be an interesting QC metric as well, as they might dominate the measurements when there's a low sample content. | ||
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## Software manuscript | ||
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Discussion of datasets to be used as an illustration of the mzQC software libraries: | ||
- Mathias shared QC metrics for the iPRG2015 dataset. However, all runs are extremely alike, making this a very boring dataset. The seemingly interesting BSA contaminants in sample 4 were actually explicitly spiked in. | ||
- The autoQC dataset that we looked at previously was also too clean. | ||
- Chris has a few nice examples of failed datasets in his PTXQC paper. He will revisit some of these files to check whether they can be used for our purpose. | ||
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## mzQC format manuscript | ||
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Mathias has (unpublished) longitudinal data from the CRG team in Barcelona with historical QC runs over a two year period on two different instruments. |