Progenesis QI for proteomics Starter Pack

We're proud of the fact that we offer quite an extensive list of FAQs and informative blog posts, but we understand it can be overwhelming knowing which articles to read first. With that in mind, we have highlighted some key articles to help you get started with the software:

Before you begin...

• Why should I join the Progenesis Improvement Program?

Before running samples, how can I ensure my data will be valid?

• By using Progenesis QI for proteomics, you're already halfway there: read about how it solves the problem of missing values

• How are technical replicates handled in Progenesis QI for proteomics?

• Is there any benefit to using profile (continuum) data over centroided data?

Understanding the analysis

• Why is the final list of proteins in my experiment exactly the same in every group?

• How are protein abundances calculated in Progenesis QI for proteomics?

What things should I be doing to validate my analysis?

• Immediately after acquisition, use the ion maps to QC your runs

• Review and, if necessary, edit the alignment of your runs

• Use Principal Component Analysis to check that your samples group as expected

How do I identify the peptides in my samples?

• Use your preferred identification method; there are many options available

• How can I use MSᴱ, HDMSᴱ or SONAR data to identify my peptides?

Taking your analysis further

• Learn how to export the tables and visualisations from Progenesis QI for proteomics

• Learn how to export your measurements for external analysis

Further support

Why not check out our full list of FAQs? Or maybe you'd like to give our blog a read? Alternatively, if you'd like to speak to a member of our team, get in touch; we aim to reply to all enquiries within 1 working day.

In the meantime, happy reading!

The Nonlinear Support Team