Publications by authors named "Jeremy NguyenXuan"

Article Synopsis
  • The 2015 BioHackathon brought together scientists and developers to create tools for sharing and reusing biological data.
  • They talked about problems with how to represent and use different kinds of biological information, like DNA and proteins.
  • The group shared their progress in fixing these issues and discussed future goals to improve how researchers can use biological data in their work.
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The correlation of phenotypic outcomes with genetic variation and environmental factors is a core pursuit in biology and biomedicine. Numerous challenges impede our progress: patient phenotypes may not match known diseases, candidate variants may be in genes that have not been characterized, model organisms may not recapitulate human or veterinary diseases, filling evolutionary gaps is difficult, and many resources must be queried to find potentially significant genotype-phenotype associations. Non-human organisms have proven instrumental in revealing biological mechanisms.

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The Matchmaker Exchange application programming interface (API) allows searching a patient's genotypic or phenotypic profiles across clinical sites, for the purposes of cohort discovery and variant disease causal validation. This API can be used not only to search for matching patients, but also to match against public disease and model organism data. This public disease data enable matching known diseases and variant-phenotype associations using phenotype semantic similarity algorithms developed by the Monarch Initiative.

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