SEQUEST Cluster is a complete, preconfigured proteomics solution
that enables accelerated throughput of increasingly complex, multidimensional
informatics.
The SEQUEST Cluster offers a scalable solution for computing the large volumes of data typical in most proteomics analyses using LC/MS. Protein database search times are dramatically reduced by harnessing the power of several processing units in one, increasing throughput and saving the life scientist valuable time. Offered as an all-Windows or as a mixed Windows/Linux option, customers will have the choice to start small with a few processors and scale up as the demand for more throughput increases in their lab. The new SEQUEST Cluster includes several BioWorks 3.1 software features, including TurboSEQUEST, Enhanced XPRESS™, Peptide Matching, ZSA for charge state analysis, and much more.
SEQUEST Cluster is optimized to enhance productivity by enabling the proteomics researcher to:
Identify proteins automatically by comparing tandem mass spectrometry (MS/MS) data with standard protein and DNA databases
Correctly identify weak-signal proteins in mixtures by extracting and cross-correlating uninterpreted MS/MS information
Analyze a single spectrum or an entire LC/MS/MS peptide map automatically
Features:
Using a loosely coupled parallel algorithm that matches the MSMS spectra of digest peptides with computer generated fragmentation spectra predicted from genomic and or/protein sequence database, SEQUEST Cluster demonstrates impressive scalability.
SEQUEST Cluster greatly reduces the overhead of MS information management by allowing one instance of the application to analyze a large amount of data.
Although the SEQUEST Cluster application runs within Microsoft ® Windows ®, compute nodes can use either Windows or Linux ®.
The SEQUEST Cluster is bundled with Thermo Scientific’s BioWorks™ 3.1 protein identification software suite, the industry standard for protein identification. BioWorks is engineered to reduce the complexity of the most sophisticated proteomics analyses.
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