Three Prestigious Institutions to Evaluate Protein Forest’s Mass Spec Results Analysis Tool™ (MSRAT™) Bioinformatics Software

4 Sept 2008
Greg Smith
Analyst / Analytical Chemist

Protein Forest, Inc. a leading developer and manufacturer of state-of-the-art sample fractionation technology for mass spectrometry and bioinformatics software, announced today that its Mass Spec Results Analysis Tool™ (MSRAT™) software will be evaluated at The Whitehead Institute in Cambridge, MA, Harvard Medical School and the Proteomics and Mass Spectrometry Facility at the University of Massachusetts Medical School. These institutions will use the bioinformatics software to enable rapid discovery of the richness of the data produced using the digital ProteomeChip™ (dPC™) system. These studies include glial tumor biomarker discovery, identification of prostate cancer markers in urine and studying disease associated MHC class I and II peptides from T cells.

"MSRAT is extraordinary software. This software allows us to analyze our study data in ways that we could never do before with substantially less effort and time," said Keith R. Solomon, PhD, Assistant Professor of Orthopedic Surgery at Harvard Medical School and Administrative Director of the Proteomics Center at Children’s Hospital Boston.

The MSRAT™ bioinformatics software was developed for biologists to help them quickly discover new findings in their proteomic data. This software maximizes their ability to correlate protein expression, post-translational modifications and pI isoforms with disease from their MS/MS based proteomic studies. Furthermore, the software analyzes large amounts of mass spec data within minutes allowing researchers to quickly focus on differences/similarities between samples. The software also provides visualization tools such as histograms, Venn diagrams, differential heat maps, and virtual 2D gel maps to assist in the meaningful interpretation of MS data. Ultimately, this software enables researchers to rapidly identify important biologically relevant features from their proteomic experiments.

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