ABSTRACT
SUMMARY: Reliable and integrated data are prerequisites for effective research on the recent coronavirus disease 2019 (COVID-19) pandemic. The CovidGraph project integrates and connects heterogeneous COVID-19 data in a knowledge graph, referred to as 'CovidGraph'. It provides easy access to multiple data sources through a single point of entry and enables flexible data exploration. AVAILABILITY AND IMPLEMENTATION: More information on CovidGraph is available from the project website: https://healthecco.org/covidgraph/. Source code and documentation are provided on GitHub: https://github.com/covidgraph. SUPPLEMENTARY INFORMATION: Supplementary data is available at Bioinformatics online.
Subject(s)
COVID-19 , COVID-19/epidemiology , Humans , Information Storage and Retrieval , SoftwareABSTRACT
Multilocus sequence typing of 31 stx-carrying Escherichia coli O26:H11 strains isolated in Canada between 1999 and 2003 revealed a high degree of genetic relatedness at 10 loci, suggesting either that this is a clonal serotype (similar to O157:H7) or that additional genetic loci need to be examined.
