APPLICATIONS
Meeting grant application deadlines with compelling data is an ongoing challenge. All of GMet’s capabilities provide rapid metabolomics data analysis to help support nimble preparation of grant applications. For example, untargeted metabolomics or lipidomics data can point the way to previously unrecognized biology to augment grant applications. If RNASeq or other genomic data is already acquired for an experimental system, GMet’s network-based combined omics analysis can establish the rationale for incorporating “multi-omics profiling” or “integrated omics” into a grant application. And all of these large-dimensional data sets are well suited to inform cutting-edge work with machine learning and artificial intelligence methods.
GMet is a unique metabolomics service provider founded by leaders in the field of metabolomics with a strong track-record of harnessing its utility in life sciences. Contact us today to discuss your project with us.
