A novel graph theoretical approach for modeling microbiomes and inferring microbial ecological relationships.

ABSTRACT:

Background

Microbiomes play vital roles in shaping environments and stabilize them based on their compositions and inter-species relationships among its species. Variations in microbial properties have been reported to have significant impact on their host environment. For example, variants in gut microbiomes have been reported to be associated with several chronic conditions, such as inflammatory disease and irritable bowel syndrome. However, how microbial bacteria contribute to pathogenesis still remains unclear and major research questions in this domain remain unanswered.

Methods

We propose a split graph model to represent the composition and interactions of a given microbiome. We used metagenomes from Korean populations in this study. The dataset consists of three diffe

SUBMITTER: Kim S 

PROVIDER: S-EPMC6923821 | biostudies-literature | 2019 Dec

REPOSITORIES: biostudies-literature