Dynamic model of microbiota structure using graph theory methods

Building a dynamic model of microbiome structure is one of the key unsolved problems in obstetrics and gynecology such as premature birth, premature discharge of amniotic fluid, bacterial vaginitis/vaginosis and a number of other diseases.

A system for data collection, storage and analysis has been developed to address this complex problem. The developed software is implemented in a number of departments of the Center and allows monitoring of microbiocenosis in real time.

Results were obtained using:

• Python
• Django framework
• R