What is it about?
We introduce MetConSIN, a computational method for understanding what is happening in a microbial community using the genomes of the member species. MetConSIN simulates microbial community growth and provides a mechanistic explanation of its simulation in the form of a set of interaction networks. These network reveal the way that microbes interact through their metabolisms.
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Why is it important?
Our work provides a method for connecting microbial DNA sequencing data to the function and dynamics of microbial communities. Understanding this function is critical for engineering microbial communities to have a beneficial impact on their environment.
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This page is a summary of: Inferring microbial interactions with their environment from genomic and metagenomic data, PLoS Computational Biology, November 2023, PLOS,
DOI: 10.1371/journal.pcbi.1011661.
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