BINDER: computationally inferring a gene regulatory network for Mycobacterium abscessus.

ABSTRACT:

Background

Although many of the genic features in Mycobacterium abscessus have been fully validated, a comprehensive understanding of the regulatory elements remains lacking. Moreover, there is little understanding of how the organism regulates its transcriptomic profile, enabling cells to survive in hostile environments. Here, to computationally infer the gene regulatory network for Mycobacterium abscessus we propose a novel statistical computational modelling approach: BayesIan gene regulatory Networks inferreD via gene coExpression and compaRative genomics (BINDER). In tandem with derived experimental coexpression data, the property of genomic conservation is exploited to probabilistically infer a gene regulatory network in Mycobacterium abscessus.Inference on regulatory interac

SUBMITTER: Staunton PM 

PROVIDER: S-EPMC6734328 | biostudies-literature | 2019 Sep

REPOSITORIES: biostudies-literature