False discovery rate estimation and heterobifunctional cross-linkers

Lutz Fischer, Juri Rappsilber

Research output: Contribution to journalArticlepeer-review

Abstract / Description of output

False discovery rate (FDR) estimation is a cornerstone of proteomics that has recently been adapted to cross-linking/mass spectrometry. Here we demonstrate that heterobifunctional cross-linkers, while theoretically different from homobifunctional cross-linkers, need not be considered separately in practice. We develop and then evaluate the impact of applying a correct FDR formula for use of heterobifunctional cross-linkers and conclude that there are minimal practical advantages. Hence a single formula can be applied to data generated from the many different non-cleavable cross-linkers.

Original languageEnglish
Article numbere0196672
JournalPLoS ONE
Volume13
Issue number5
DOIs
Publication statusPublished - 10 May 2018

Keywords / Materials (for Non-textual outputs)

  • Journal Article

Fingerprint

Dive into the research topics of 'False discovery rate estimation and heterobifunctional cross-linkers'. Together they form a unique fingerprint.

Cite this