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Network‐Based Modeling of the Human Gut Microbiome
Author(s) -
Naqvi Ammar,
Rangwala Huzefa,
Keshavarzian Ali,
Gillevet Patrick
Publication year - 2010
Publication title -
chemistry and biodiversity
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.427
H-Index - 70
eISSN - 1612-1880
pISSN - 1612-1872
DOI - 10.1002/cbdv.200900324
Subject(s) - gut microbiome , microbiome , computational biology , gut flora , network analysis , graph , network model , biology , bioinformatics , computer science , evolutionary biology , immunology , data mining , theoretical computer science , physics , quantum mechanics
In this article, we used a network‐based approach to characterize the microflora abundance in colonic mucosal samples and correlate potential interactions between the identified species with respect to the healthy and diseased states. We analyzed the modelled network by computing several local and global network statistics, identified recurring patterns or motifs, fit the network models to a family of well‐studied graph models. This study has demonstrated, for the first time, an approach that differentiated the gut microbiota in alcoholic subjects and healthy subjects using topological network analysis of the gut microbiome.