MTBLS10392
Gut microbiota dysbiosis and altered GABA and bile acid metabolism are linked to Guillain-Barré syndrome

works in-browser/supports mzML files
Raw data exploration, data processing, and statistical analysis - all integrated in one place, eliminating the need for data transfer between tools.
All modules share a common project and storage layer, so a feature table curated in Decode opens in Stat or Flux with the metadata already wired.
Interactive visualization of raw data files

Pick any of these curated studies and it opens in different modules.
Every study in the emzing Vault repository has been reprocessed through the deep learning-enabled workflow, so you can compare across cohorts and conduct statistical analyses. Studies across sample types including human biofluids, tissue, plant material, microbial lysates, and spent media, focusing on bioprocessing, isotope labelling, biomarker discovery, and natural product search - and many more all in one place.
The models and algorithms in emzing are published with their benchmarks, so you can reproduce them and cite them.
Our vision is to become the most intelligent and trusted platform for metabolomics data analysis by redefining how scientists interact with mass spectrometry data.
To simplify complex metabolomics workflows using AI-driven automation, enabling researchers to generate accurate, reproducible and scalable scientific insights
Untargeted, targeted, and stable isotope tracing workflows scoped end-to-end.
Metabolite extraction from a range of sample types, data acquisition on HR-LC-MS with optimized methods and robust QC.
TQ-LCMS and GC-MS panels and optimized workflows for analyte quantification.
Deep learning-enabled processing with emzing, curated feature tables, and statistics for deep biological insights.
Genome scale metabolic modeling and flux balance analysis, Predictive modeling.
Pick a MetaboLights dataset and start exploring in Discover.
Try a dataset30 minutes with a metabolomics scientist to talk through your workflow.
The benchmarks and the training set for the Emzing model are all public.
Open ChemRxiv