Application of a maximal-clique based community detection algorithm to gut microbiome data reveals driver microbes during influenza A virus infection.

ABSTRACT: Influenza A Virus (IAV) infection followed by bacterial pneumonia often leads to hospitalization and death in individuals from high risk groups. Following infection, IAV triggers the process of viral RNA replication which in turn disrupts healthy gut microbial community, while the gut microbiota plays an instrumental role in protecting the host by evolving colonization resistance. Although the underlying mechanisms of IAV infection have been unraveled, the underlying complex mechanisms evolved by gut microbiota in order to induce host immune response following IAV infection remain evasive. In this work, we developed a novel Maximal-Clique based Community Detection algorithm for Weighted undirected Networks (MCCD-WN) and compared its performance with other existing algorithms using three se

SUBMITTER: Bhar A 

PROVIDER: S-EPMC9630851 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature