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Example Reports

Browse interactive QC reports generated from real proteomics experiments reanalyzed with the quantms pipeline. Each report includes identification rates, quantification metrics, and quality control visualizations.

LFQ Experiments

Dataset Description Interactive Report Lightweight Report
PXD007683 Label-free quantification benchmark View View
PXD010899 Large-scale LFQ proteomics View View

TMT Experiments

Dataset Description Interactive Report Lightweight Report
PXD007683 (TMT) TMT isobaric labeling benchmark View View
PXD003133 Large-scale TMT proteomics View View
PXD053068 TMT multi-plex experiment View View
PXD053464 TMT proteomics dataset View View
PXD054720 TMT quantification dataset View View

DIA Experiments

Dataset Description Interactive Report Lightweight Report
DIA (quantms) DIA analysis via quantms pipeline View View
DIA-NN DIA-NN native output View View
MaxDIA MaxQuant DIA analysis View View

Additional Datasets

Dataset Description Interactive Report Lightweight Report
PXD062383 Proteomics QC dataset View View
PXD062399 Proteomics QC dataset View View
PXD066146 Proteomics QC dataset View View

Special Formats

Dataset Description Interactive Report Lightweight Report
ProteoBench Cross-tool benchmarking comparison View View
mhcquant MHC immunopeptidomics View View

Interactive vs Lightweight Reports

Interactive reports include hover tooltips on all plots for detailed data exploration. Lightweight reports disable hover info for faster loading and smaller file size — useful for large experiments or embedding in publications.

Generate Your Own

pip install pmultiqc
multiqc /path/to/results --module pmultiqc -o ./report
See the User Guide for detailed instructions per workflow type.

Citation

If you use pmultiqc for your analysis, please cite:

Yue QX, Dai C, Kamatchinathan S, Bandla C, Webel H, Larrea A, Bittremieux W, Uszkoreit J, Müller TD, Xiao J, Cox J, Yu F, Ewels P, Demichev V, Kohlbacher O, Sachsenberg T, Bielow C, Bai M, Perez-Riverol Y. pmultiqc: An open-source, lightweight, and metadata-oriented QC reporting library for MS proteomics. Mol Cell Proteomics. 2026;101530. DOI: 10.1016/j.mcpro.2026.101530