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Title:

DIAMetAlyzer allows automated false-discovery rate-controlled analysis for data-independent acquisition in metabolomics

Document type:
Zeitschriftenaufsatz
Author(s):
Alka, Oliver; Shanthamoorthy, Premy; Witting, Michael; Kleigrewe, Karin; Kohlbacher, Oliver; Röst, Hannes L.
Abstract:
The extraction of meaningful biological knowledge from high-throughput mass spectrometry data relies on limiting false discoveries to a manageable amount. For targeted approaches in metabolomics a main challenge is the detection of false positive metabolic features in the low signal-to-noise ranges of data-independent acquisition results and their filtering. Another factor is that the creation of assay libraries for data-independent acquisition analysis and the processing of extracted ion chroma...     »
Keywords:
BayBioMS; Metabolomics; Software
Journal title:
Nature Communications
Year:
2022
Journal volume:
13
Journal issue:
1
Fulltext / DOI:
doi:10.1038/s41467-022-29006-z
Publisher:
Springer Science and Business Media LLC
E-ISSN:
2041-1723
Date of publication:
15.03.2022
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