Sage-N Research, Inc., the world leader in
supplying Integrated Data Appliances (IDAs) for proteomics research, announced
that the State University of New York at Buffalo's
pharmaceutical sciences research group has chosen the Sage-N Research SORCERER
TM
platform to assist with its advanced proteomics research.
One of the primary reasons for this was to take
advantage of the sophisticated algorithms and server capabilities that the SORCERER
offers, as an overall life science platform. The SORCERER will replace the
current super-computers that are used within the University's laboratory to characterize
and identify proteins and handle the large amounts of data generated from high
throughput mass spectrometers.
The Lab of Clinical Proteomics and Pharmaceutical Analysis, led by Dr. Jun Qu, Assistant
Professor at The State University of New York at Buffalo and the Chief Scientist in Bioanalysis in
CEBLS, has decided to go with Sage-N
Research's SEQUEST® 3G search engine and Matrix Science's Mascot®, both hosted on the SORCERER platform, to
study a variety of applications including diagnostics and biomarker discovery
for cardiovascular diseases, colon, pancreatic and prostate cancer,
cocaine addiction, retina degeneration, COPD and HIV.
The SORCERER from Sage-N Research is a "plug
and play" appliance for life sciences designed to support multiple software
programs and is well suited to researchers in high-throughput laboratories,
core facilities and corporate environments. It provides a unique combination of
optimized hardware and can be easily customized with
different post-processing tools to suit an individual customer's needs. The
platform also offers high-level server-based solutions for storage, back-up and
rapid processing of the complex data-sets generated by high end mass
spectrometers.
The University at Buffalo selected SORCERER to be used with both
Mascot and SEQUEST 3G, to optimize the search conditions. This solution has replaced the super-computer in the University at Buffalo's
laboratory, as it offers the capability to handle the vast amounts (up to a
terabyte) of information generated by a unique long-gradient nano-Lliquid Chromatography Mass Spectrometry
(nano-LC/MS) developed in Qu's lab.
"It has been great to
be able to finally deploy both Mascot and SEQUEST 3G on the Sage-N Research SORCERER
platform and experience the benefits of two very powerful search engines for important
protein ID applications," commented Dr. Jun Qu. "Most members of the industry
are still using standalone PC servers which can be time consuming to configure
and would consume more power to process the same amount of data. For example,
60k-80k spectra were generated by a single nano-LC/MS run of a clinical sample;
in our lab, one typical clinical project will involve the analysis of 2-3
millions of spectra, which is a heavy burden even for a super computer. We have found the SORCERER platform to be
very reliable, easy-to-use and the next generation of Information Technology for life sciences." In
addition, John Cottrell, Director at Matrix Science comments "We are excited
that the University at Buffalo
has chosen to harness the power of Mascot on the SORCERER platform for its
advanced proteomics research. This solution allows users to handle large
amounts of data easily and efficiently, accelerating their vital research
programs."
For more information about Sage-N Research, Inc. and its easy-to-use
proteomic data analysis solution, please visit
www.sagenresearch.com or e-mail
info@SageNResearch.com.
SORCERER
TM
is a trademark of Sage-N Research, Inc.
SEQUEST®
is registered trademark with the University
of Washington
Mascot® is a registered
trademark of Matrix Science Ltd
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