Monthly Archives: April 2014

Improved performance for analysis of high resolution LC-MS data

Analytica 2014 saw the official launch of the new and rebranded releases of both Progenesis QI and Progenesis QI for proteomics. One of the new features shared by both products is the ability to control the noise reduction during data import – something we’ll look at in more detail here. Big data just keeps getting […]

Creating custom fragmentation databases using Progenesis QI

One of the major new features in Progenesis QI (the successor to Progenesis CoMet) is the ability to create fragmentation databases from your experimental data, which can subsequently be used to assist identification. This blog post will show you how to start building your own. Identification phase The first step in creating a fragmentation database […]

ProteoMMX 3.0 – Proteomics gets the royal treatment

Last week, I attended my first conference for Nonlinear Dynamics – ProteoMMX 3.0, held in Chester at the Queen Hotel, a venue chosen for, in the words of conference organiser Rob Beynon, “its quirkiness” – a characteristic it certainly lived up to. 🙂 “New data compression algorithm too powerful for public release” The meeting was […]

New Progenesis launched at Analytica 2014

This morning at Analytica 2014, we officially launched the new and rebranded releases of both our proteomics and small molecule data analysis solutions; and to coincide with this, we’ve also rebranded our website. “Progenesis QI” is the new name for Progenesis CoMet / TransOmics™ Informatics for Metabolomics and Lipidomics, while “Progenesis QI for proteomics” is […]