NuSep Releases ProteoIQ 2.0

NuSep announces the unveiling of ProteoIQ 2.0. The newest version of ProteoIQ 2.0 provides researchers with a unified software solution for the major proteomic quantification strategies and adds tools for distilling biological meaning from high-throughput proteomic data in a manner that was not previously possible.

“ProteoIQ has fundamentally changed how we process, interpret, and share data within our lab and between collaborators. The software has become an indispensable tool in our proteomics workflows and the technical support from NuSep is second to none. Outstanding product!” stated David Muddiman and Adam Hawkridge, from the W.M. Keck FT-ICR Mass Spectrometry Laboratory, NC State University.

ProteoIQ has always been known as an innovative and time-saving bioinformatics tool for the analysis of proteomic data. The new functionality included in ProteoIQ 2.0 is specifically designed to extend the bioinformatic pipe-line from quantification to biological discovery. With the introduction of the metabolic labeling (SILAC) module, which can also be used for any isotopic labeling strategy that alters the precursor mass, such as ICAT and 18O labeling, ProteoIQ 2.0 supports the major proteomic quantification strategies. In addition, the integrated statistical analysis of variance (ANOVA), assessments of reproducibility, and point-and-click normalization functions offered by ProteoIQ 2.0 improve the confidence in identifying changes in protein expression.

Jeremiah D. Tipton from the National High Magnetic Field Laboratory, Florida State University said “Comparison and extraction of relevant data is quick and simple with correct use of the statistical models.” ProteoIQ 2.0 is a unique single software solution for label-free, isobaric tag, and isotopic labeling proteomic strategies.

ProteoIQ 2.0 also allows researchers to quickly move from high-throughput experimental data to the discovery of novel biological insights by combining proteomic results with any user-defined biological annotation. A few simple mouse clicks allows one to display protein abundance along pathways, or compare proteomic data to transcriptome data, such as microarray and/or rt-PCR, thus quickly shifting the focus to discovering the results most relevant to the experimental system.

ProteoIQ 2.0 will be exhibited at the 2010 American Society for Mass Spectrometry Conference (ASMS), May 23-27, 2010 in Salt Lake City, UT.