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Hybrid proteome samples were generated by mixing human, yeast and E.coli lysates in different ratios and analysed by SWATH-MS. The dataset of interest was obtained from TripleTOF6600 with the 64-variable-window acquisition. The dataset was processed by DIA-NN under the library-based mode. Only triplicates of Sample A are included here.

Usage

datasetA

Format

List of data matrices of precursor- and protein-level intensities.

References

Navarro, P., Kuharev, J., Gillet, L.C., Bernhardt, O.M., MacLean, B., Röst, H.L., Tate, S.A., Tsou, C.C., Reiter, L., Distler, U. and Rosenberger, G., 2016. A multicenter study benchmarks software tools for label-free proteome quantification. Nature biotechnology, 34(11), pp.1130-1136.

Demichev, V., Messner, C.B., Vernardis, S.I., Lilley, K.S. and Ralser, M., 2020. DIA-NN: neural networks and interference correction enable deep proteome coverage in high throughput. Nature methods, 17(1), pp.41-44.