SCIEX announces co-marketing agreement with Elucidata to break barriers for Metabolomics Researchers
25/06/2019
New Delhi, Jun 24: SCIEX, a global leader in life science analytical technologies, today announced a Co-marketing agreement with Elucidata, a disruptive integrated Omics platform company providing tools for metabolomics data processing. This relationship will uniquely position SCIEX to address the major challenges faced by scientific researchers and allow them to efficiently process all their metabolomics data from a diverse range of workflows. It also allows scientists to interpret these results in a biological context to further advance the fields of target identification and validation, as well as deeply characterize the underlying biology. Under this Agreement, Elucidata and SCIEX will promote Elucidata's integrated Omics platform, called Polly, in conjunction with SCIEX technologies, including TripleTOF, X500R, and QTRAP, as well as Differential Ion Mobility technology.
Polly is an end-to-end, vendor-neutral, integrated omics platform that standardizes and streamlines metabolomics data analysis workflows, as well as integrates various other forms of omics data, to better understand cellular phenotype.
In addition to hosting and maintaining its proprietary workflows on a single cloud-based environment, Elucidata allows for its customers to post their own bespoke applications on Polly, freeing up scientists' time to focus their efforts on higher value activities. The result is an environment supporting customized omics processing pipelines, comprehensive bioinformatics analysis capabilities, real-time scientific collaboration, and project management.
Polly MetScape, a global metabol-omics profiling data analysis workflow, is compatible with data acquired in SWATH(r) Acqusition mode, a data-independent acquisition (DIA) workflow that is now increasingly employed in untargeted metabolomics workflows. SWATH(r) Acquisition allows users to collect MS and MS/MS of every detectable peak in their sample, thus creating a digital map of the metabolome.
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