MetaSRA is an annotation/re-coding of sample-specific metadata in the National Center for Biotechnology Information, U.S. National Library of Medicine Sequence Read Archive (https://www.ncbi.nlm.nih.gov/sra) using biomedical ontologies. Currently, MetaSRA labels biological samples with terms in the Disease Ontology, Experimental Factor Ontology, Cell Ontology, Uberon, and Cellosaurus.
The MetaSRA API provides for programmatic access to the current version of the database, with two resources: samples and terms. Samples can be accessed as JSON or CSV.
The API is provided by The Center for Predictive Computational Phenotyping (CPCP) at the University of Wisconsin. CPCP develops innovative computational and statistical methods and software for a broad range of problems that can be cast as computational phenotyping.
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