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Year | Number of Results |
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2019 | 1 |
2020 | 1 |
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The proteomic landscape of genome-wide genetic perturbations.
Cell. 2023 Apr 27;186(9):2018-2034.e21. doi: 10.1016/j.cell.2023.03.026. Epub 2023 Apr 19.
Cell. 2023.
PMID: 37080200
Free PMC article.
dia-PASEF data analysis using FragPipe and DIA-NN for deep proteomics of low sample amounts.
Demichev V, Szyrwiel L, Yu F, Teo GC, Rosenberger G, Niewienda A, Ludwig D, Decker J, Kaspar-Schoenefeld S, Lilley KS, Mülleder M, Nesvizhskii AI, Ralser M.
Demichev V, et al.
Nat Commun. 2022 Jul 8;13(1):3944. doi: 10.1038/s41467-022-31492-0.
Nat Commun. 2022.
PMID: 35803928
Free PMC article.
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DIA-NN: neural networks and interference correction enable deep proteome coverage in high throughput.
Demichev V, Messner CB, Vernardis SI, Lilley KS, Ralser M.
Demichev V, et al.
Nat Methods. 2020 Jan;17(1):41-44. doi: 10.1038/s41592-019-0638-x. Epub 2019 Nov 25.
Nat Methods. 2020.
PMID: 31768060
Free PMC article.
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Cost-effective generation of precise label-free quantitative proteomes in high-throughput by microLC and data-independent acquisition.
Vowinckel J, Zelezniak A, Bruderer R, Mülleder M, Reiter L, Ralser M.
Vowinckel J, et al.
Sci Rep. 2018 Mar 12;8(1):4346. doi: 10.1038/s41598-018-22610-4.
Sci Rep. 2018.
PMID: 29531254
Free PMC article.
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