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Design and implementation of generic RESTful-APIs for genomics and phenomics databases

The thematic frame for this thesis is the design and implementation of RESTful services to open institutional databases for a machine readable and self-describing data access. The scientific use case is to apply and develop methods for a semantic data integration, data quality control and visualization of multidisciplinary genomics and phenomics plant research data. The technical use cases focuses on API-level access as well as containerized export of genotyping and phenotyping datasets using hierarchical data formats, like the ISA concept or HDF5. ISA and HDF5 are generic file formats to provide domain independent and self-describing data exchange of investigations (project context), studies (unit of research) and assays (measurement) of data entities. It supports data serialization as TSV files, JSON or RDF.


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If you are interested in this topic, please contact [link]Dr. Daniel Arend for further information.