Skip to content

Publications & Community

Citing quantmsdiann

If you use quantmsdiann in your research, please cite both the pipeline and DIA-NN:

Dai C, Pfeuffer J, Wang H, et al. quantms: a cloud-based pipeline for quantitative proteomics enables the reanalysis of public proteomics data. Nature Methods. 2024;21:1603-1607. DOI: 10.1038/s41592-024-02343-1

Demichev V, et al. DIA-NN: neural networks and interference correction enable deep proteome coverage in high throughput. Nature Methods. 2020;17:41-44. DOI: 10.1038/s41592-019-0638-x

Paper Journal Year DOI
quantms-rescoring: ML-powered PSM rescoring bioRxiv 2026 10.64898/2026.01.12.698877
pmultiqc: QC reporting for MS proteomics Mol Cell Proteomics 2026 10.1016/j.mcpro.2026.101530
Ibaqpy: baseline quantification J Proteomics 2025 10.1016/j.jprot.2025.105440
SDRF: proteomics sample metadata Nat Commun 2021 10.1038/s41467-021-26111-3

Papers Using quantmsdiann

If your paper uses quantmsdiann, please open an issue to add it here.

Community