<HashMap><database>biostudies-literature</database><scores/><additional><submitter>Tierrafria VH</submitter><funding>National Institute of Health</funding><funding>NIH</funding><funding>NIGMS NIH HHS</funding><funding>FOINS CONACyT Fronteras de la Ciencia</funding><pagination>856-864</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC7963087</full_dataset_link><repository>biostudies-literature</repository><omics_type>Unknown</omics_type><volume>35(5)</volume><pubmed_abstract>&lt;h4>Motivation&lt;/h4>A major component in increasing our understanding of the biology of an organism is the mapping of its genotypic potential into its phenotypic expression profiles. This mapping is executed by the machinery of gene regulation, which is essentially studied by changes in growth conditions. Although many efforts have been made to systematize the annotation of experimental conditions in microbiology, the available annotations are not based on a consistent and controlled vocabulary, making difficult the identification of biologically meaningful comparisons of knowledge derived from different experiments or laboratories.&lt;h4>Results&lt;/h4>We curated terms related to experimental conditions that affect gene expression in Escherichia coli K-12. Since this is the best-studied microorg</pubmed_abstract><journal>Bioinformatics (Oxford, England)</journal><pubmed_title>MCO: towards an ontology and unified vocabulary for a framework-based annotation of microbial growth conditions.</pubmed_title><pmcid>PMC7963087</pmcid><funding_grant_id>5R01GM110597-03</funding_grant_id><funding_grant_id>R01 GM110597</funding_grant_id><funding_grant_id>576333</funding_grant_id><pubmed_authors>Tierrafria VH</pubmed_authors><pubmed_authors>Mejia-Almonte C</pubmed_authors><pubmed_authors>Collado-Vides J</pubmed_authors><pubmed_authors>Camacho-Zaragoza JM</pubmed_authors><pubmed_authors>Salgado H</pubmed_authors><pubmed_authors>Ishida C</pubmed_authors><pubmed_authors>Alquicira K</pubmed_authors><pubmed_authors>Gama-Castro S</pubmed_authors></additional><is_claimable>false</is_claimable><name>MCO: towards an ontology and unified vocabulary for a framework-based annotation of microbial growth conditions.</name><description>&lt;h4>Motivation&lt;/h4>A major component in increasing our understanding of the biology of an organism is the mapping of its genotypic potential into its phenotypic expression profiles. This mapping is executed by the machinery of gene regulation, which is essentially studied by changes in growth conditions. Although many efforts have been made to systematize the annotation of experimental conditions in microbiology, the available annotations are not based on a consistent and controlled vocabulary, making difficult the identification of biologically meaningful comparisons of knowledge derived from different experiments or laboratories.&lt;h4>Results&lt;/h4>We curated terms related to experimental conditions that affect gene expression in Escherichia coli K-12. Since this is the best-studied microorg</description><dates><release>2019-01-01T00:00:00Z</release><publication>2019 Mar</publication><modification>2026-07-16T18:16:34.402Z</modification><creation>2025-02-18T23:48:48.121Z</creation></dates><accession>S-EPMC7963087</accession><cross_references><pubmed>30137210</pubmed><doi>10.1093/bioinformatics/bty689</doi></cross_references></HashMap>