Fall 2017 Newsletter

A round up of happenings at Proteome Software this fall.

Announcing the METLIN Library

Coming very soon, an Elements compatible version of the popular METLIN Spectral Library! We will be reaching out to current users to provide the option to purchase a copy of the library soon. Contact sales@proteomesoftware.com for more information.

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Scaffold DIA Update

Development on DIA is proceeding rapidly with the program scheduled to be released in early 2018. Users can expect an easy to use interface, options for collaboration such as reports and sharable files and robust statistical analysis built right in, all for data independent acquisition proteomics

A Publication Featuring...

The following paper highlights the power of combining Scaffold perSPECtives with Scaffold for flexible analysis of large scale proteomics experiments.

A comprehensive analysis and annotation of human normal urinary proteome
Scientific Reports (2017)
Mindi Zhao, Menglin Li, Yehong Yang, Zhengguang Guo, Ying Sun, Chen Shao, Mingxi Li, Wei Sun, Youhe Gao

View Paper via NCBI

Getting Started with Scaffold

New Getting Started with Scaffold Guide

Run a core facility, use Scaffold and need a short guide to send to new users? Click the button to view our new getting started guide specifically tailored to new viewer users. See something we missed? We welcome feedback regarding instructions that should be added to future version of this document, send an email to support@proteomesoftware.com.

Proteome at Asilomar 2017

Proteome Software attended the 2017 ASMS Asilomar conference on Clinical and Translational Metabolomics and presented a poster on the powerful spectral library creation tool found in Elements. The library was created using bile acid standards for investigation of the gut microbiome. We would like to thank Johana Revel and the Maier lab at Oregon State University for their generous contribution to the poster. The conference weekend was full of fascinating research on bringing mass spectrometry based metabolomics into clinical settings.