Integrative Analysis
This analysis is performed using MiMeNet tool, which is an existing computational tool that uses deep neural networks to explore microbiome-metabolome relationships. It analyses microbiome and metabolome datasets to identify associations between the two types of data. *
The results from MiMeNet provide additional insights and associations between microbes and metabolites that show significant changes during pregnancy. The objective of using MiMeNet is to unravel the intricate interplay between the gut microbiome and metabolites that are undetectable from the univariate correlation analysis.
Explore the changes in 88 well-predicted metabolite compounds throughout mouse pregnancy. The table compares their variations to the reference time point (gestational time point - G0), providing valuable insights into metabolic fluctuations.
Explore the interrelationships between microbial and metabolomic modules with the heatmap and the network connections represented by a bipartite graph, showcasing the complex interactions between microbes and metabolites.
Discover the microbes that interact with the predicted metabolite compounds. This section provides a comprehensive list of all the microbes involved in the intricate web of interactions within the microbiome and metabolome during mouse pregnancy.
Explore a deeper view of the specific interactions between microbes and metabolite compounds through the extensive table. This comprehensive resource presents detailed information on the interactions between all microbes and metabolite compounds, along with their respective module information.
*Reiman D, Layden BT, Dai Y (2021) MiMeNet: Exploring microbiome-metabolome relationships using neural networks. PLOS Computational Biology 17(5): e1009021. https://doi.org/10.1371/journal.pcbi.1009021