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Thermo Fisher Scientific and Sage-N Research Join Forces to Provide a Proteomics Data Analysis Solution
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Thermo Fisher Scientific Inc. and Sage-N Research Inc. have announced the latest product of their five year collaboration on proteomics analysis: the first proteomics software platform designed specifically for the Enterprise Linux market, the companies say.
The SORCERER™ Enterprise software product, available from Sage-N Research, is a scalable software suite for fully automated, high-volume proteomic analyses on high-performance Linux systems, including blade servers and conventional Linux clusters.
The product is designed for data centers in biopharmaceutical companies and centralized laboratories that must process increasing amounts of proteomics data from mass spectrometry experiments in research areas such as cancer, stem cells, and neurodegenerative diseases.
The SORCERER Enterprise platform can be used as the main standalone data analysis system to support hundreds of proteomics researchers using a web interface. It can also interface with the recently introduced Windows®-based Proteome Discoverer software from Thermo Fisher Scientific.
High-throughput proteomics laboratories can use these two complementary products as an integrated system that allows customized back-end analytical tools and infrastructure interfaces on the SORCERER platform and a customizable front-end interactive environment on the Proteome Discoverer platform.
"The SORCERER Enterprise software is our latest offering for next generation 'Proteomics 2.0' analyses focusing on protein modifications, new dissociation technologies like ETD, and quantitation," said James Candlin, vice president of proteomics solutions, Sage-N Research. "We are delighted to continue our technical collaboration with Thermo Fisher Scientific to deliver innovative, world-class analysis solutions to high-performance proteomics laboratories around the world."
The SORCERER Enterprise software can offer a roadmap for current users of Thermo Scientific SEQUEST® Clusters who need to add advanced data analysis capabilities such as protein quantitation or analysis of post-translational modifications to their current database searching.
