METLIN, Scaffold DIA and More! The Proteome Software 2018 Winter Newsletter

Winter 2018 Newsletter

Happy New Year to all! The holiday season has come to an end which means it is time to get back in the laboratory. Proteome Software has a few exciting announcements to share to begin 2018!

METLIN for Elements is Here!

Elements 1.4, out now, includes the popular METLIN spectral library. That’s right, search NIST, METLIN and numerous free libraries. What advantage does METLIN provide?

the largest collection of MS/MS data, curated by the Scripps Institute since 2005
MS/MS Spectra for over 15,000 metabolites, lipids, di- and tri- peptides
support for multiple instruments including SCIEX, Agilent, Bruker and Waters
spectra captured at multiple collision energies in both positive and negative mode

What does this mean for my research? Searching the METLIN Spectral library will provide accurate MS2 matches to those generated by your instrument for thousands of compounds.

Request More Information

Scaffold DIA

Is your lab interested in DIA proteomics? Tired of fighting with open source software? Scaffold DIA, coming soon, will include many powerful features including:

confident identifications
robust statistical analysis
numerous collaborative features
a simple and intuitive user interface

Want to learn more? Contact us to be added to the notification list.

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US HUPO 2018

Proteome Software will be attending the US HUPO conference from March 11 to 14 in Minneapolis, MN. All attendees are encouraged to stop by our both for information about all of our products for both proteomics and small molecules. Keep an eye out for more information including our booth number as the conference date gets closer. Send us an email if you plan on attending and we look forward to seeing everyone there.

Featured Publication

The featured article this quarter focuses on using Elements for untargeted lipidomics. The new Elements 1.4 includes optimizations for experiments involving lipids.

A relative quantitative positive/negative ion switching method for untargeted lipidomics via high resolution LC-MS/MS from any biological source
Metabolomics (2017)
Susanne B. Breitkopf, Stéphane J. H. Ricoult, Min Yuan, Ying Xu, David A. Peake, Brendan D. Manning, John M. Asara

Read Article

Call for Publications

Have a recent publication that references one of our products? We want to give you the recognition you deserve for your hard work. Send us a email and a bit about your research to have you paper added to our citation list.

Contact information can be sent to sales@proteomesoftware.com.

In Closing...

Check out our website for a wealth of Proteome Software related information including demo data, evaluation request forms and product user guides. We wish everyone a prosperous and productive 2018.