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SBOLExplorer: Data Infrastructure and Data Mining for Genetic Design Repositories

Michael Zhang1, Zach Zundel1, Chris J Myers2

  • 1School of Computing , University of Utah , Salt Lake City , Utah 84112 , United States.

ACS Synthetic Biology
|September 19, 2019
PubMed
Summary

SBOLExplorer enhances searching in the SynBioHub repository for synthetic biology designs. This system improves the discovery of genetic parts, circuits, and sequences encoded in the Standard Bio-Ontology Language (SBOL) format.

Keywords:
ElasticsearchPageRankclusteringgenetic circuitsgenetic design automationgenetic design repositorygraph analysissynthetic biologysynthetic biology open language

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