Welcome to M2M Server.
This server is designed for prediction of the metabolites that could be produced by the microbial community during different health condition by using their metagenomics data (16S-rRNA). Furthermore, it also helps you to compare your real-time metabolomic (untargeted) data with predicted metabolite and helps to see what could be the most probable source of the metabolites.
- Helps in predicting metabolites from the metagenomic data.
- Helps in finding the most probable source of the metabolite (microbe responsible for the production).
- Predict important feature at OTU, Compound, Enzyme level by machine learning approaches.
- Helps in interlinking important feature.
Feature prediction by machine learning approaches at OTU, Compound, Enzyme level.
α-diversity analysis through phyloseq R-package and visulatization through plotly.
β-diversity analysis through phyloseq R-package and visulatization through plotly.
Taxonomic profile at different level through phyloseq R-package and visulatization through plotly