Benchmarking DIA-type Proteomics Using Large-Scale Inter-Patient Heterogeneity Dataset

Benchmarking Proteomics Quantitation in DIA-type data using real patient material to create a benchmark dataset comprising inter-patient heterogeneity

Type: Other
Archiver: European Genome-Phenome Archive (EGA)

1 Dataset 3 Publications

Click on a Dataset ID in the table below to learn more, and to find out who to contact about access to these data

Dataset ID	Description	Technology	Samples
EGAD00010002223	Real patient variability Benchmark Dataset for Optimization of DIA data analysis workflows	Orbitrap Eclipse	92

Publications	Citations
Benchmarking of analysis strategies for data-independent acquisition proteomics using a large-scale dataset comprising inter-patient heterogeneity. Fröhlich K, Brombacher E, Fahrner M, Vogele D, Kook L, Pinter N, Bronsert P, Timme-Bronsert S, Schmidt A, Bärenfaller K, Kreutz C, Schilling O. Nat Commun 13: 2022 2622	21
Analysis of DIA proteomics data using MSFragger-DIA and FragPipe computational platform. Yu F, Teo GC, Kong AT, Fröhlich K, Li GX, Demichev V, Nesvizhskii AI. Nat Commun 14: 2023 4154	16
Baldur: Bayesian Hierarchical Modeling for Label-Free Proteomics with Gamma Regressing Mean-Variance Trends. Berg P, Popescu G. Mol Cell Proteomics 22: 2023 100658	0