Tag Archives: Progenesis QI for proteomics

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.

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.

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

Out now – Progenesis QI for proteomics v3.0

Progenesis QI for proteomics v3.0 is now available to download – find out what’s new here.

Missing values: the hard truths

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

Come and see us at ProteoMMX 4.0!

Book your appointment to meet with a member of the Nonlinear team at ProteoMMX 4.0.

Missing values: what’s the problem?

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

Hi-N Quantitation For Clinical Discovery Proteomics

Find out about absolute quantification in Progenesis QI for proteomics.

Come and see us at ASMS 2015!

They say time flies when you’re having fun, so that must explain how it’s already time for ASMS 2015 – the  63rd annual conference for the American Society of Mass Spectrometry. This year it’s being held in St. Louis, MO, in America’s Center Convention Complex, with hospitality suites in the nearby Renaissance Grand Hotel. The […]

Spectral counting: why not?

One of the key considerations in bottom-up label-free proteomics analysis is the means of feature quantitation. Being peptide ions, measurements of these features are ‘rolled up’ into inferred proteins, but two main approaches can be taken to generating the data for this purpose. The first, and most commonly used, approach is MS1 (precursor-based) measurement such […]