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RegulonDB v12.0: a comprehensive resource of transcriptional regulation in E. coli K-12.


ABSTRACT: RegulonDB is a database that contains the most comprehensive corpus of knowledge of the regulation of transcription initiation of Escherichia coli K-12, including data from both classical molecular biology and high-throughput methodologies. Here, we describe biological advances since our last NAR paper of 2019. We explain the changes to satisfy FAIR requirements. We also present a full reconstruction of the RegulonDB computational infrastructure, which has significantly improved data storage, retrieval and accessibility and thus supports a more intuitive and user-friendly experience. The integration of graphical tools provides clear visual representations of genetic regulation data, facilitating data interpretation and knowledge integration. RegulonDB version 12.0 can be accessed at https://regulondb.ccg.unam.mx.

SUBMITTER: Salgado H 

PROVIDER: S-EPMC10767902 | biostudies-literature | 2024 Jan

REPOSITORIES: biostudies-literature

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RegulonDB v12.0: a comprehensive resource of transcriptional regulation in E. coli K-12.

Salgado Heladia H   Gama-Castro Socorro S   Lara Paloma P   Mejia-Almonte Citlalli C   Alarcón-Carranza Gabriel G   López-Almazo Andrés G AG   Betancourt-Figueroa Felipe F   Peña-Loredo Pablo P   Alquicira-Hernández Shirley S   Ledezma-Tejeida Daniela D   Arizmendi-Zagal Lizeth L   Mendez-Hernandez Francisco F   Diaz-Gomez Ana K AK   Ochoa-Praxedis Elizabeth E   Muñiz-Rascado Luis J LJ   García-Sotelo Jair S JS   Flores-Gallegos Fanny A FA   Gómez Laura L   Bonavides-Martínez César C   Del Moral-Chávez Víctor M VM   Hernández-Alvarez Alfredo J AJ   Santos-Zavaleta Alberto A   Capella-Gutierrez Salvador S   Gelpi Josep Lluis JL   Collado-Vides Julio J  

Nucleic acids research 20240101 D1


RegulonDB is a database that contains the most comprehensive corpus of knowledge of the regulation of transcription initiation of Escherichia coli K-12, including data from both classical molecular biology and high-throughput methodologies. Here, we describe biological advances since our last NAR paper of 2019. We explain the changes to satisfy FAIR requirements. We also present a full reconstruction of the RegulonDB computational infrastructure, which has significantly improved data storage, re  ...[more]

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