2022
DOI: 10.1021/acs.jproteome.2c00513
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MS-DAP Platform for Downstream Data Analysis of Label-Free Proteomics Uncovers Optimal Workflows in Benchmark Data Sets and Increased Sensitivity in Analysis of Alzheimer’s Biomarker Data

Abstract: In the rapidly moving proteomics field, a diverse patchwork of data analysis pipelines and algorithms for data normalization and differential expression analysis is used by the community. We generated a mass spectrometry downstream analysis pipeline (MS-DAP) that integrates both popular and recently developed algorithms for normalization and statistical analyses. Additional algorithms can be easily added in the future as plugins. MS-DAP is open-source and facilitates transparent and reproducible proteome scien… Show more

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Cited by 29 publications
(21 citation statements)
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“…Output was filtered at 0.01 FDR (Demichev et al, 2020). The Mass Spectrometry Downstream Analysis Pipeline (MS-DAP) (version beta 0.2.5.1) was used for quality control and candidate discovery (Koopmans et al, 2022). Differential abundance analysis between groups was performed on log transformed protein abundances.…”
Section: Lc-ms/ms Proteomic Analysis -Search and Data Analysismentioning
confidence: 99%
“…Output was filtered at 0.01 FDR (Demichev et al, 2020). The Mass Spectrometry Downstream Analysis Pipeline (MS-DAP) (version beta 0.2.5.1) was used for quality control and candidate discovery (Koopmans et al, 2022). Differential abundance analysis between groups was performed on log transformed protein abundances.…”
Section: Lc-ms/ms Proteomic Analysis -Search and Data Analysismentioning
confidence: 99%
“…For the downstream analysis, we used MS-DAP (version beta 0.2.5.1 [19]) for quality control and candidate discovery. Differential abundance analysis between groups was performed on log-transformed protein abundances.…”
Section: Discussionmentioning
confidence: 99%
“…All other settings were left as default. MS-DAP 1.0.6 59 was used for downstream analyses of the DIA-NN results. Filtering and normalization were applied to respective samples per statistical contrast.…”
Section: Methodsmentioning
confidence: 99%