MicW2Graph: Building a knowledge graph of the wastewater treatment microbiome and its biological context

In this project, we investigated the microbiome of the wastewater treatment (WWT) process to build MicW2Graph, an open-source knowledge graph that integrates WWT metagenomic and metatranscriptomic information with their biological context, including biological processes, environmental and phenotypic features, chemical compounds, and additional metadata. We developed a workflow to collect meta-omics datasets from MGnify and infer potential interactions among microorganisms through microbial association networks. MicW2Graph enables the investigation of research questions related to WWT, focusing on aspects such as microbial connections, community memberships, and potential ecological functions.