Tag Archives: Progenesis QI

A review of Metabolomics, Brisbane 2017

After 25 hours of travel… a short rest with some adorable baby kangaroos and koalas, there was a series of pre-conference workshops on Sunday and Monday morning. The Waters Monday workshop was well attended, and we had two very interesting presentations from Progenesis users in the FoodOmics and Health Sciences applications: Dr. Martin Snel from […]

Just because it’s natural doesn’t mean it’s safe

A major analytical challenge in natural products is the complexity of the samples.  Why does this matter? Waters recently hosted a webinar, available on-demand, entitled “Authenticate Herbal Supplements with a Metabolomics Approach – Reporting and Analytics” featuring our own Dr Giorgis Isaac, whose current research is focused on novel analytical and informatics method development to […]

Report research with confidence – Who else wants to publish small molecule LC-MS analysis confidently?

Meaningful results Over 800 groups worldwide are using Progenesis QI routinely to generate small molecules and proteomics results that really reflect the effect of the conditions in the experimental design, so they can have confidence in presenting these results to their peers, with minimal fear of false positives. How can we claim that only Progenesis […]

New Year, new release

With the new year comes a new release of Progenesis QI, version 2.3. We are making this available free of charge to all our users running v2.0, v2.1 and v2.2. Here are 3 reasons you might want to upgrade. 1 Symphony support This upgrade will allow you to use Progenesis QI in conjunction with Symphony […]

How Progenesis QI resolves the problem of missing values

I’ve been at Nonlinear Dynamics for ten years now. In that time, we’ve seen the Progenesis range develop beyond just proteomics and, in 2013, we were acquired by Waters, although Progenesis QI will work on label-free data from any major MS vendor. I was originally brought into Nonlinear Dynamics to generate leads, so after 2 […]

Would you like another clue? Look in the library.

– Download the Waters Metabolic Profiling Collisional Cross Section (CCS) library In metabolomics, we are detectives, gathering corroborative evidence from various parameters, such as accurate mass, retention time, etc. in order to draw a valid and correct conclusion. “Noun: corroborative evidence – additional evidence or evidence of a different kind that supports a proof already […]

3 benefits for your compound data analysis you don’t want to miss!

Kai and Ting-Li have very kindly written an article about how they have benefited from an easy to use interface, were able to overcome challenges around correcting retention time shifts, and gained confidence in their ability to identify small molecules, correctly, by employing Progenesis QI to intelligently rank possible identifications. Moreover, they recount how Progenesis […]

Progenesis plugins: gotta catch ’em all!

Here at Nonlinear Dynamics, we’ve always strived to keep Progenesis QI and Progenesis QI for proteomics vendor agnostic. This allows our users to utilise a single software package to analyse data from all of their instruments, and interface with a wide range of search methods and pathways tools. We achieve this through our plugin architecture, […]

Missing values: the Progenesis co-detection solution

In my last blog I described the problem of missing values in discovery omics analysis and how it adversely affects the statistics. Now I’ll describe the Progenesis co-detection solution to this problem. First, a quick recap: the problem is caused by an inefficient workflow in which the feature ion signals are detected independently on each […]

Identification scoring in Progenesis QI

One of the advantages of using Progenesis QI is its ability to combine results from multiple search methods and databases. Progenesis QI uses a common scale to score results from all the databases and search methods it supports, so you can compare search results obtained from different search methods. This post explains the scoring method […]