Tag Archives: Progenesis QI

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

800+ groups worldwide publish LC-MS research findings with confidence using Progenesis’ unique co-detection. Read about 2 recent publications.

New Year, new release

New release of Progenesis QI v2.3 including Symphony and SONAR support

How Progenesis QI resolves the problem of missing values

Progenesis QI’s unique approach to handling missing values in your LC-MS omics data is explained in an infographic and a short video.

Would you like another clue? Look in the library.

A new parameter for metabolite identification: Download Waters Metabolic Profiling CCS Library.

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

An account of an easy to use GUI, ability to overcome retention time shift challenges & gain confidence in correctly identified small molecules.

Progenesis plugins: gotta catch ’em all!

Progenesis QI plug-ins handle different file formats, search methods and pathways tools, giving a flexible, up-to-date approach to Omics research

Missing values: the Progenesis co-detection solution

Explanation of how Progenesis QI uniquely provides an Omics data analysis with no missing values, giving a robust statistical analysis.

Identification scoring in Progenesis QI

Steven Anderson shows how you can increase confidence in your metabolomics IDs, using the additional dimensions of your data in Progenesis QI.

Missing values: the hard truths

What problems do missing values cause for LC-MS data analysis?

Missing values: what’s the problem?

What are missing values and why are they a problem in LC-MS based ‘omics analysis?