RegulonDB v 10.5: tackling challenges to unify classic and high throughput knowledge of gene regulation in E. coli K-12.
Alberto Santos-ZavaletaHeladia SalgadoSocorro Gama-CastroMishael Sánchez-PérezLaura Gómez-RomeroDaniela Ledezma-TejeidaJair Santiago García-SoteloKevin Alquicira-HernándezLuis Muñiz-RascadoPablo Peña-LoredoCecilia Ishida-GutiérrezDavid A. Velázquez-RamírezVictor del Moral-ChávezCésar Bonavides-MartínezCarlos-Francisco Méndez-CruzJames E. GalaganJulio Collado-VidesPublished in: Nucleic Acids Res. (2019)
Keyphrases
- high throughput
- systems biology
- gene regulation
- microarray
- gene regulatory networks
- biological data
- gene expression
- living cells
- genome wide
- gene expression data
- biological systems
- molecular biology
- regulatory networks
- data acquisition
- biological processes
- reverse engineering
- saccharomyces cerevisiae
- protein protein interactions
- gene ontology
- biological networks
- real time
- biologically inspired
- machine learning