bioRxivJClub
A community audit of error control in crosslinking mass spectrometry
bioRxiv · · Preprint · Open access
Fischer, Amaral + 24 more
Abstract ↗AI summary
The abstract is read at the publisher; the summary is JClub's.
Twelve crosslinking mass spectrometry pipelines were audited, and in some cases verifiably false identifications exceeded the requested false discovery rate by up to 29-fold at the protein-protein interaction level.
- Why it matters: Error control can fail in crosslinking mass spectrometry, and the community needed an audit method with ground truth to expose lower bounds on false identifications.
- What they did: The team audited twelve pipelines using two ground-truth designs that provide a lower bound on false identifications, and compared performance across software versions.
- The result: Some pipelines met the requested false discovery rate, while others did not, and tracked improvements between versions support using the audit for regression testing.
The findingWhy it mattersWhat they didThe result
- Open access
- 1 cites