Multirresistencia, resistencia extendida y panresistencia a antibacterianos en el norte de México.

Objetivo: Describir el perfil de multirresistencia (MDR), resistencia extendida (XDR) y panresistencia (PDR) a antibacterianos en aislados de muestras de pacientes de un hospital privado de tercer nivel en el norte de México.

MÉtodo: Se realizó un estudio retrospectivo durante el periodo comprendido de febrero de 2016 a abril de 2019. A partir de 156 muestras clínicas de orina, heridas, sangre, expectoración y otros fluidos se aislaron 166 bacterias; 10 de las muestras incluyeron dos microorganismos.

Similarity corpus on microbial transcriptional regulation.

Background: The ability to express the same meaning in different ways is a well-known property of natural language. This amazing property is the source of major difficulties in natural language processing. Given the constant increase in published literature, its curation and information extraction would strongly benefit from efficient automatic processes, for which corpora of sentences evaluated by experts are a valuable resource.

RegulonDB v 10.5: tackling challenges to unify classic and high throughput knowledge of gene regulation in E. coli K-12.

RegulonDB, first published 20 years ago, is a comprehensive electronic resource about regulation of transcription initiation of Escherichia coli K-12 with decades of knowledge from classic molecular biology experiments, and recently also from high-throughput genomic methodologies. We curated the literature to keep RegulonDB up to date, and initiated curation of ChIP and gSELEX experiments. We estimate that current knowledge describes between 10% and 30% of the expected total number of transcription factor- gene regulatory interactions in E.

Strategies towards digital and semi-automated curation in RegulonDB.

Experimentally generated biological information needs to be organized and structured in order to become meaningful knowledge. However, the rate at which new information is being published makes manual curation increasingly unable to cope. Devising new curation strategies that leverage upon data mining and text analysis is, therefore, a promising avenue to help life science databases to cope with the deluge of novel information.