Mono- and intralink filter (mi-filter) to reduce false identifications in cross-linking mass spectrometry data

HIGHLIGHTS

• who: Chen and Xingyu from the (UNIVERSITY) have published the research work: Mono- and Intralink Filter (Mi-Filter) To Reduce False Identifications in Cross-Linking Mass Spectrometry Data, in the Journal: (JOURNAL) of December/12,/2022
• what: The authors show that simple and intuitive filter has a dramatic effect on different types of cross-linking data ranging from individual protein complexes over medium-complexity affinity enrichments to proteome-wide cell lysates and significantly reduces the number of false-positive identifications for inter-protein links in all these types of XL-MS data. u25a0
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