Status:
Member since: 2007
Organization: University of Muenster
Like the product, the company is user-oriented
Application Area: Small molecules and proteins
"The software gives me a good start and overview to the sample set and helps when thinking about further research steps, I had trouble exporting some information to Excel which I found annoying, but I received help very quickly which resolved the issue."
Status:
ReviewerMember since: 2016
Organization: LANGEBIO Cinvestav
Great software and we obtain great support when we needed it
Application Area:Plant Metabolomics
"I think it’s a great product for someone wanting to obtain quick results after injecting hundreds of samples a week. Progenesis QI for small molecules is very friendly and easy to use once you get familiar with the software. The challenge is to create your one database focused in your area of research. Reviewing your compounds and the statistics is also very helpful when you want to present your results in an easy way."
Status:
ReviewerMember since: 2016
Organization: University Magdeburg
Great product, highly recommended for label free proteomics
Application Area:Proteomics
"Easy to use; produces reliable data; great statistics, nice outputs from all levels of analysis for presentation; needs a bit time to fully understand the power of complex filter settings"
Status:
ReviewerMember since: 2016
Organization: food industry research and development institute
This software is friendly.
Application Area:Analysis oil by non-target analysis
"This software is very easy to use and useful in non-target analysis, like peak picking and identification."
Status:
ReviewerMember since: 2016
Organization: BGI' in shenzhen, China
Progenesis QI is very helpful software for metabolomics and lipidomics study.
Application Area:Metabolomics and lipidomics study
"Progenesis QI, a powerful software for metabolomics study, is very convenient and easy control. Although expensive, it’s worth the money, we have done a project with 1000 samples. The identification of metabolites, which is the bottlenecks of metabolomics and lipidomics study, have improved a lot in QI. I'm really looking forward to the constantly development of Progenesis QI. "
Status:
ReviewerMember since: 2015
Organization: North-West University
The conversion of several raw spectral files into a data matrix is usually difficult and a time consuming task. Progenesis QI changed all that at our institution.
Application Area:Untargeted and semi-targeted metabolomics
"The conversion of several raw spectral files into a data matrix is usually difficult and a time consuming task. Progenesis QI changed all that at our institution. The ability of the program to handle more than one “recording” channel and its use of in silico fragmentation are key features that we cannot go without."
Status:
ReviewerMember since: 2015
Organization: Unibe/Inselspital and NCI/NIH/USA
Application Area:Urine and plasma metabolomics and plasma lipidomics
"A massive improvement over MarkerLynx for metabolomic analyses. Still has a few bugs, but should be perfect by version 3. "
Status:
ReviewerMember since: 2015
Organization: University of Maryland, School of Pharmacy
Application Area:Lipidomic and metabolomic data processing following LC-MS/MS analysis
"Progenesis QI is straight-forward to use and can be integrated into a laboratory workflow with relative ease."
Status:
ReviewerMember since: 2015
Organization: Aston University
Application Area:Analysis of lipids from a wide range of sources
"Provided a good first screen for quantitative differences and was fairly straightforward to use. Very good support - always happy to help, advise and listen to concerns."
Status:
ReviewerMember since: 2015
Organization: Washington State University
Application Area:Proteomics and metabolomics of metabolically complex organisms
"We have found Progenesis QI to be incredibly useful for our proteomics and metabolomics work. It speeds time to compound identification and provides very useful comparison tools for our datasets."
Status:
ReviewerMember since: 2015
Organization: University of Minnesota
Application Area:Analyze Metabolites
"Jonathan McSayles has been a pleasure to work with. He has gone to extra mile to stay patient as we go through our purchasing and installation processes. Progenesis QI is far and away the best product for analyzing mass spectrometry based metabolomic data. "
Status:
ReviewerMember since: 2015
Organization: Université Laval
"Excellent product. The next steps would be to include machine learning approaches in the analyses performed."
Status:
ReviewerMember since: 2014
Organization: University of Szeged, Department of Medical Chemistry
Application Area:Phospholipid analysis from human plasma and mouse brain, plasma.
"I use this software for data analysis from LC-MS/MS Waters raw files. The statistical part of software is very useful; and from the raw data files we can get the statistical results."
Status:
ReviewerMember since: 2014
Organization: University Würzburg
Application Area:Metabolomics
"Progenesis QI is an easy-to-use and practicable tool in untargeted metabolite analysis. Even the students can use it without supervision. Our group use ProGenesis QI in versatile projects from functional genomics to perturbation analysis."
Progenesis® QI enables you to accurately quantify and then identify the compounds in your samples that are significantly changing. With support for all common vendor data formats and a guided workflow, Progenesis QI software helps to overcome your data analysis challenges, enabling you to rapidly, objectively and reliably discover compounds of interest and export results for 'omics research applications.
Solving your analysis challenges