{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"omics_type":["Unknown"],"volume":["18"],"submitter":["Escorcia-Rodriguez JM"],"funding":["Dirección General de Asuntos del Personal Académico, Universidad Nacional Autónoma de México"],"pubmed_abstract":["Some organism-specific databases about regulation in bacteria have become larger, accelerated by high-throughput methodologies, while others are no longer updated or accessible. Each database homogenize its datasets, giving rise to heterogeneity across databases. Such heterogeneity mainly encompasses different names for a gene and different network representations, generating duplicated interactions that could bias network analyses. Abasy (<b>A</b>cross-<b>ba</b>cteria <b>sy</b>stems) Atlas consolidates information from different sources into meta-curated regulatory networks in bacteria. The high-quality networks in Abasy Atlas enable cross-organisms analyses, such as benchmarking studies where gold standards are required. Nevertheless, network incompleteness still casts doubts on the conc"],"journal":["Computational and structural biotechnology journal"],"pagination":["1228-1237"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC7283102"],"repository":["biostudies-literature"],"pubmed_title":["Abasy Atlas v2.2: The most comprehensive and up-to-date inventory of meta-curated, historical, bacterial regulatory networks, their completeness and system-level characterization."],"pmcid":["PMC7283102"],"pubmed_authors":["Escorcia-Rodriguez JM","Freyre-Gonzalez JA","Tauch A"],"additional_accession":[]},"is_claimable":false,"name":"Abasy Atlas v2.2: The most comprehensive and up-to-date inventory of meta-curated, historical, bacterial regulatory networks, their completeness and system-level characterization.","description":"Some organism-specific databases about regulation in bacteria have become larger, accelerated by high-throughput methodologies, while others are no longer updated or accessible. Each database homogenize its datasets, giving rise to heterogeneity across databases. Such heterogeneity mainly encompasses different names for a gene and different network representations, generating duplicated interactions that could bias network analyses. Abasy (<b>A</b>cross-<b>ba</b>cteria <b>sy</b>stems) Atlas consolidates information from different sources into meta-curated regulatory networks in bacteria. The high-quality networks in Abasy Atlas enable cross-organisms analyses, such as benchmarking studies where gold standards are required. Nevertheless, network incompleteness still casts doubts on the conc","dates":{"release":"2020-01-01T00:00:00Z","publication":"2020","modification":"2026-07-15T22:09:38.596Z","creation":"2026-07-09T10:20:57.821Z"},"accession":"S-EPMC7283102","cross_references":{"pubmed":["32542109"],"doi":["10.1016/j.csbj.2020.05.015"]}}