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Titel:

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

Dokumenttyp:
Zeitschriftenaufsatz
Autor(en):
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...     »
Stichworte:
BayBioMS; Metabolomics; Software
Zeitschriftentitel:
Nature Communications
Jahr:
2022
Band / Volume:
13
Heft / Issue:
1
Volltext / DOI:
doi:10.1038/s41467-022-29006-z
Verlag / Institution:
Springer Science and Business Media LLC
E-ISSN:
2041-1723
Publikationsdatum:
15.03.2022
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