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Chenomx Releases Version 4.6 of Metabolomics Software Suite

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Chenomx Inc. has announced the release of Chenomx NMR Suite 4.6, reflecting over six years of software and chemistry research and development.

Chenomx NMR Suite is a set of integrated software applications for performing NMR-based metabolomics. 

By integrating tools for creating and manipulating metabolic profiles, Chenomx NMR Suite allows users to identify and quantify metabolites in complex NMR spectra. 

Chenomx NMR Suite can import data acquired with VarianBruker or JEOL spectrometers, as well as data from any JCAMP-DX data source. 

Chenomx Profiler, part of Chenomx NMR Suite, is designed to allow users to identify and quantify metabolites of interest using Chenomx compound libraries representing over 260 metabolites. 

Chenomx Signature Builder, also part of Chenomx NMR Suite, allows users to add their own compounds to a custom compound library.

Chenomx NMR Suite 4.6 introduces a method for combining global and targeted profiling techniques called "residual-based binning."

Residual-based binning captures spectral information that remains after performing targeted profiling of certain compounds.

By combining both targeted and global spectral profiling, the user retains the benefits of targeted profiling for known compounds, and gains the extensive spectral coverage of global profiling techniques. 

Also in 4.6 are improved processing features, including baseline correction and automatic phasing algorithms.

Adoption of Chenomx NMR Suite in both industrial and academic settings has been swift; Chenomx counts many leading pharmaceutical companies as clients, as well as academic and non-profit institutions from around the world.

Jack Newton, Director of Product Development for Chenomx, adds, "With 4.6 we've extended the breadth and depth of the tools available to metabolomics researchers."

"Residual-based binning is a feature we're particularly excited about in this release, as it presents the first cohesive method for integrating targeted and global spectral profiling techniques."