EcoliNet: a database of cofunctional gene network for Escherichia coli

• DOI: 10.1093/database/bav001
• Publication Date: 2015-02-04T01:25:31Z
• Authors: Hanhae Kim; Jung Eun Shim; Junha Shin; Insuk Lee
• Keywords: Identification; Model Organism; Gene prediction

During the past several decades, Escherichia coli has been a treasure chest for molecular biology. The mechanisms of many fundamental cellular processes have discovered through research on this bacterium. Although much basic now focuses more complex model organisms, E. still remains important in metabolic engineering and synthetic Despite its long history as subject investigation, than one-third genome no pathway annotation supported by either experimental evidence or manual curation. Recently, network-assisted genetics approach to efficient identification novel gene functions increased popularity. To accelerate speed remaining uncharacterized part genome, we constructed database cofunctional network with near-complete coverage organism, dubbed EcoliNet. We find that EcoliNet is highly predictive diverse bacterial phenotypes, including antibiotic response, indicating it will be useful prioritizing candidate genes wide spectrum phenotypes. implemented web server where biologists can easily run algorithms over predict involved gene. All integrated associations downloaded, enabling orthology-based reconstruction networks other species well. Database URL : http://www.inetbio.org/ecolinet