Monthly Archives: September 2010

A round up from HUPO 2010

It’s been great to be back here in beautiful Sydney for HUPO 2010! Though I’ve been here a few times before, it’s my first experience of an Australian winter (it’s a bit like a British summer). Though I understand the delegate numbers are maybe a little down on previous years, an impressive number of delegates […]

Posters at HUPO 2010

Messages have been relayed from the other side of the world giving us highlights from the ground at HUPO 2010 in Sydney. Wednesday was set to be a good day for us as we had posters presented showing applications of both Progenesis SameSpots and Progenesis MALDI. The first was a collaboration with Bio-Rad, presented by […]

HUPO 2010 update

Having worked for Nonlinear for close to 14 years, I’ve been fortunate to have travelled all around the world in that time. I have to say that Sydney is one of my favourite cities to visit.  Having completed a 24 hour trip from our office in North Carolina to Sydney, we decided to take a […]

First report from HUPO 2010

This week, some of our guys — Mark Bennett, Paul Goulding and Andy Borthwick — are attending HUPO 2010 in Sydney. According to Mark, initial impressions are that there are fewer exhibitors at this year’s conference than in the past. If that’s true, it should be less of a rush to get around the stands […]

Agilent Q-TOF support in Progenesis LC‑MS

Progenesis LC-MS has always had the ability to load mzXML, the machine-independent data format. This means that even if we don’t support your machine directly, you can still convert your data to mzXML and analyse it using Progenesis. However, for Agilent Q-TOF MassHunter data in particular, the process of converting to mzXML (using msconvert) is […]

Progenesis SameSpots v4.1: the SpotCheck workflow

This week, Progenesis SameSpots v4.1 emerged from its beta programme and was released for download. By far the most noteworthy new feature is the addition of the SpotCheck workflow. This directly supports the first of the four key steps in reproducible proteomics1, as defined by the Fixing Proteomics campaign: achieving reproducibility in your gel running. […]