Genedata, a leading provider of advanced software solutions for drug discovery and life science research, announced release 8.0 of Genedata Expressionist® for Mass Spectrometry, which provides a single platform for the integrated analysis of metabolomics data. To explore the vast chemical space of the metabolome, researchers use a variety of mass spectrometers, including various LC-MS and GC-MS instruments. However, consolidating data from different instrument types and manufacturers can pose burdensome challenges. The new Genedata Expressionist for Mass Spectrometry addresses these challenges by combining all data types generated by diverse mass spectrometry instrument parks, and providing workflows for integrated analysis of CE-, IC-, LC- and GC-MS data. Researchers can capitalize on simultaneous processing, multivariate statistics and sophisticated pathway analyses of unified data sets to achieve a more comprehensive and holistic view of the metabolome.
The forthcoming challenges are on the side of the poly-omics integration in big meta-metabolomics studies, and the accurate data handling of increasing numbers of samples such as in personalized medicine or global environmental/microbiome metabolomics studies, said Prof. Dr. Schmitt-Kopplin, director of analytical biochemistry research at the Helmholtz Center Munich. Using Genedata Expressionist for Mass Spectrometry as a data analysis hub for metabolomics R&D, Prof. Dr. Schmitt-Kopplin noted, We need algorithms that enable us to efficiently analyze several hundreds of samples in the shortest amount of time while providing high-quality results and Genedata Expressionist enables all that and more.
Innovative Algorithms and Interactive Visualization Drive New Insights In recent years, Genedata Expressionist for Mass Spectrometry has found a rapidly growing user base in leading commercial organizations including pharmaceutical, agrochemical, breeding, and industrial biotechnology companies as well as academia. With interactive visualization tools, innovative peak picking algorithms and the ability to interrogate a large range of natural-substance databases, Genedata Expressionist helps to quickly identify biologically-relevant metabolites. Advanced data management capabilities keep experiment data organized and accessible.
The ease of use, flexible automation, interactive visualizations and consistent quality of results would all be convincing enough on their own, but, it s the scalability that really clinches it for us, said Prof.
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