MicrobiomeNet: A Database for Microbial Associations and Metabolic Profiles
Author Information
Author(s): Lu Yao, Hui Fiona, Zhou Guangyan, Xia Jianguo
Primary Institution: McGill University
Conclusion
MicrobiomeNet is a comprehensive database that integrates microbial associations with their metabolic profiles, providing valuable mechanistic insights.
Supporting Evidence
- MicrobiomeNet contains approximately 5.8 million known microbial associations.
- It integrates over 12,400 genome-scale metabolic models covering around 6000 microbial species.
- Users can explore microbial associations and compare their metabolic profiles.
Takeaway
MicrobiomeNet is like a big library where scientists can find out how different tiny organisms work together and what they produce, helping us understand their roles in health.
Methodology
MicrobiomeNet was developed by integrating over 5.8 million microbial associations and more than 12,400 genome-scale metabolic models.
Limitations
The database primarily focuses on microbial associations derived from human studies, which may limit its applicability to other ecosystems.
Statistical Information
P-Value
0.05
Statistical Significance
p<0.05
Digital Object Identifier (DOI)
Want to read the original?
Access the complete publication on the publisher's website