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PreprintCC BY 4.0BioHackrXiv

DBCLS BioHackathon 2026 report: Variant representation in RDF for precision medicine

  • Núria Queralt Rosinach
  • Daniel Puthawala
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Abstract

For the life science semantic web community, the provision of genomic variants ready for tools and applications is essential to deliver on the promise of precision medicine. As part of the DBCLS BioHackathon 2026, we here report our efforts on how best to provide variant data in RDF for downstream patient-clinical trial matching applications.

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Cite

BibTeXRIS
BibTeX
@misc{rosinach2026dbcls,
  title = {{DBCLS BioHackathon 2026 report: Variant representation in RDF for precision medicine}},
  author = {Núria Queralt Rosinach and Daniel Puthawala},
  howpublished = {BioHackrXiv},
  year = {2026},
  month = sep,
  doi = {10.37044/osf.io/su8kx_v1},
  url = {https://osf.io/preprints/biohackrxiv/su8kx_v1/},
  note = {CC BY 4.0},
}
RIS
TY  - UNPB
TI  - DBCLS BioHackathon 2026 report: Variant representation in RDF for precision medicine
AU  - Núria Queralt Rosinach
AU  - Daniel Puthawala
PY  - 2026
DA  - 2026/09/18
PB  - BioHackrXiv
DO  - 10.37044/osf.io/su8kx_v1
UR  - https://osf.io/preprints/biohackrxiv/su8kx_v1/
AB  - For the life science semantic web community, the provision of genomic variants ready for tools and applications is essential to deliver on the promise of precision medicine. As part of the DBCLS BioHackathon 2026, we here report our efforts on how best to provide variant data in RDF for downstream patient-clinical trial matching applications.
ER  -