Use the latest metabolomics algorithms with a few lines of code
Omigami is an open source Python and R package that gives you access to scalable APIs for the latest metabolomics algorithms
Credit: Courtesy of Richard Yost
Omigami APIs are built in collaboration with the research labs who are at the forefront of novel algorithms as Wageningen University, The Dorrestein Lab and Fiehn Lab. Omigami makes it easy to use and test a new algorithm and pre-trained model in your metabolomics pipeline - shortly after publication.
Long term support
Omigami APIs are maintained, documented and supported by a full-time team of researchers and machine learning engineers - and funded by a auto-renewing grant from Data Revenue.
APIs that scale with your dataset
Omgami is backed by an auto-scaling kubernetes infrastructure that adjusts to your dataset. Never wait days for a result again.
Omigami is free for academic use. Financing comes exclusively from commercial projects. If you want to use Omigami APIs for a commercial project reach out to us
The algorithms behind all APIs are open source. You can find detailed information on each and every model in the documentation