Human Disease Ontology (DO) Project release files. The DO project actively collaborates with biomedical and clinical researchers and data repositories to coordinate a standardized classification of human disease. The DO's GitHub repository includes the monthly releases (https://tinyurl.com/DiseaseOntologyReleases), of OWL, OBO, JSON and XML formatted files along with DO subsets (ontology slims) for the Alliance of Genome Resouces, FlyBase, Mouse Genome Informatics Database, the Immune Epitope Database, DO_Cancer_slim (for cancer variant resources), and zoonotic infectious diseases.The DO SPARQL GitHub directory provides a suite (https://tinyurl.com/DiseaseOntologySrcSparql) of data reporting and QC queries for the community to explore DO's data. File formats include OWL, OBO, JSON, and XML. User requests for disease term review or inclusion of new disease terms may be submitted via the DO GitHub tracker: https://github.com/DiseaseOntology/HumanDiseaseOntology/issues.
The dataset contains data pertaining to the examination of draft genomes of 388 methicillin-resistant Staphylococcus aureus isolates obtained from intensive care unit patients at three geographically distributed hospitals. The purpose of the study was to determine genomic diversity associated with potential health care worker-associated transmission. Relevant statistics, including linked GenBank and SRA accession numbers for each genome assembly, are included in Table 1 of the associated publication.
Dataset comprises hospitalization rates for opioid injection-related skin and soft-tissue infections (O-SSTI) correlated with changes in the price and purity of heroin for the years 1993 through 2010, inclusive. Data is derived from the Healthcare Cost and Utilization Project (HCUP) Nationwide Inpatient Sample (NIS) and the Drug Enforcement Administration (DEA) System to Retrieve Information from Drug Evidence (STRIDE) databases for 27 Metropolitan Statistical Areas (MSAs).