Open Genes is a non-commercial public service for biologists — a biological database of human genes associated with aging and lifespan.
Open Genes API is a RESTful API that allows for programmatic access to the Open Genes database. The API provides GET endpoints for accessing data on genes associated with aging and longevity as well as detailed structured data for each experiment binding the gene and aging. For example, we provide up to 40 parameters for each lifespan experiment. Our API provides basic and additional data for each gene, such as gene evolution, associated diseases, hallmarks of aging linked with genes, and protein functions. It also includes various parameters for filtering and sorting. Our goal is to stay objective and precise while connecting a particular gene and human aging and to keep the gene selection criteria transparent. We distinguished six types of studies and 12 criteria for adding genes to the Open Genes database. Genes were divided into highest, high, moderate, low, and lowest confidence level groups based on the type of data supporting the link between the gene and aging.
Open Genes API is a part of Open Genes infrastructure that includes other backend services, a data management application for biologists, and a frontend application.
Complete interactive API documentation in Swagger (OpenAPI) format can be found at https://open-genes.org/api/docs.
What's Changed
- Fixed issue for hallmarks of aging which was caused by an empty field in API response #150
- OG-957. Fix pandas import and add a check if hallmarks are set for gene #123
- OG-957. Fix filter for byConservativeIn parameter #121
- OG-949. Output manually bound hallmarks of aging #119
- OG-910. Fix bySpecies filter in studies #111
- Output distinct hallmarks of aging entries in the API response #117
- Fix query causing duplicated hallmarks of aging in response #108
- OG-936: Remove a fixer for the measurement method field, fix empty response #106
- Add updated datasets with missing experiments #107
- Update hallmarks of aging dataset #120
- Update confidence levels dataset #143