- Beta version -

Microbiome Community Detector

What is MiCoDe

Microbiomes harbor intricate associative connections, or co-occurrence, between member taxa that may be critical to the assembly and function of the microbial community. Identifying and characterizing these associations from metagenomic data may offer informative insight into disease progression and prevention. The organization of the microbiome is thought to be a singular assortative network, where interactions between taxa can readily be clustered into segregated and distinct communities. However, identifying distinct communities from microbiome data remains challenging. Microbiome community detector (MiCoDe) is a web tool that fits a weighted stochastic block model (WSBM) to a network edge-weight matrix to study the community structure of co-occurrence networks derived from metagenomic data.

How MiCoDe works

1. Upload CSV

2. Run Analysis

3. Download Results

    Users first upload a taxonomic abundance count matrix (in CSV format) with rows and columns corresponding to samples and taxa respectively. Before running the analysis, the users have several arguments to choose from including data preprocessing and network interaction methods as well as the number of communities to be prespecified. The output is generated in the form of an interactive network separated by communities allowing users to dynamically filter edges by correlation magnitude.

Online Analysis

Upload a file:
Preprocess the data:
Define the interaction:
Number of community:
Verification code:

Input CSV Sample Files

Click the icon to download it
In the network graph, green links indicate positive correlation and red links indicate negative correlation. Node sizes indicate the number of links connected to the node that would change if the correlation cutoff slider bar was changed.

Contact Us


Department of Mathematical Sciences
Department of Biological Sciences
The University of Texas at Dallas
800 W. Campbell Road
Richardson, TX 75080, United States