Ontology-based literature mining of E. coli vaccine-associated gene interaction networks.

ABSTRACT:

Background

Pathogenic Escherichia coli infections cause various diseases in humans and many animal species. However, with extensive E. coli vaccine research, we are still unable to fully protect ourselves against E. coli infections. To more rational development of effective and safe E. coli vaccine, it is important to better understand E. coli vaccine-associated gene interaction networks.

Methods

In this study, we first extended the Vaccine Ontology (VO) to semantically represent various E. coli vaccines and genes used in the vaccine development. We also normalized E. coli gene names compiled from the annotations of various E. coli strains using a pan-genome-based annotation strategy. The Interaction Network Ontology (INO) includes a hierarchy of various interaction-related

SUBMITTER: Hur J 

PROVIDER: S-EPMC5348867 | biostudies-literature | 2017 Mar

REPOSITORIES: biostudies-literature