Quanti Workflow

This page host Quanti Workflow Installation Package.

Quanti is a software workflow for label-free quantitative proteomics for processing of Orbitrap high resolution mass spectrometry data.

Characteristic features of this software as it was designed and developed are:
- Accuracy (Coefficient of variance for major proteins in replicates – 1-3%, for the rest of proteins – 5-7% );
- Large data processing (>100 samples, >200 Gb as an integrated dataset);
- High throughput ~ 10 GB/hour on regular PC;
- Easy to use

To install Quanti on your computer, please, download Installation Package(external link) here.

Source codes of Quanti Workflow avialable under Apache License v.2.0(external link) on GitHub page of project(external link) Please, use this GitHub page to place your issues as bug reports or feature requests. Also you can write to Yaroslav.Lyutvinskiy at ki.se. We are greatly interested in your feedback.

Also you can download here "Simple Quanti Data Processing Workflow Manual(external link)"

You can try Quanti Workflow on provided Test Dataset.

Underlying algorithms and test results are described in following article. Please, use this article for citation:

In silico instrumental response correction improves precision of label-free proteomics and accuracy of proteomics-based predictive models.(external link) Lyutvinskiy Y, Yang H, Rutishauser D, Zubarev RA. Mol Cell Proteomics. 2013 Aug;12(8):2324-31. doi: 10.1074/mcp.O112.023804.

Quanti workflow has been used to process data in a number of research and publications, particularly:

Prognostic polypeptide blood plasma biomarkers of Alzheimer's disease progression.(external link)Yang H, Lyutvinskiy Y, Herukka SK, Soininen H, Rutishauser D, Zubarev RA. J Alzheimers Dis. 2014 Jan 1;40(3):659-66. doi: 10.3233/JAD-132102.

Protein biomarkers in vernix with potential to predict the development of atopic eczema in early childhood.(external link) Holm T, Rutishauser D, Kai-Larsen Y, Lyutvinskiy Y, Stenius F, Zubarev RA, Agerberth B, Alm J, Scheynius A. Allergy. 2014 Jan;69(1):104-12. doi: 10.1111/all.12308

The effects of 5-fluorouracil on the proteome of colon cancer cells.(external link) Marin-Vicente C, Lyutvinskiy Y, Romans Fuertes P, Zubarev RA, Visa N. J Proteome Res. 2013 Apr 5;12(4):1969-79. doi: 10.1021/pr400052p.