Abstract:
:We present an easy-to-use integrated software suite, DIA-NN, that exploits deep neural networks and new quantification and signal correction strategies for the processing of data-independent acquisition (DIA) proteomics experiments. DIA-NN improves the identification and quantification performance in conventional DIA proteomic applications, and is particularly beneficial for high-throughput applications, as it is fast and enables deep and confident proteome coverage when used in combination with fast chromatographic methods.
journal_name
Nat Methodsjournal_title
Nature methodsauthors
Demichev V,Messner CB,Vernardis SI,Lilley KS,Ralser Mdoi
10.1038/s41592-019-0638-xsubject
Has Abstractpub_date
2020-01-01 00:00:00pages
41-44issue
1eissn
1548-7091issn
1548-7105pii
10.1038/s41592-019-0638-xjournal_volume
17pub_type
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