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A Cost and Time Efficient Approach for Storing and Querying Genomic Data in Ethereum Smart Contracts

Beyene, Mikael; Thiebes, Scott; Sunyaev, Ali

Abstract:
A concept for distributed gene-drug interaction data sharing based on Ethereum Smart Contracts. The data is stored in a map with, both, keys and values utilizing a mixed-radix integer encoding that relies on the finiteness of the domains of given genes, drugs, and interactions. Thus, we get random access and, further, data queries are reduced to cheap bit comparisons.



Zugehörige Institution(en) am KIT Institut für Angewandte Informatik und Formale Beschreibungsverfahren (AIFB)
Publikationstyp Proceedingsbeitrag
Publikationsjahr 2019
Sprache Englisch
Identifikator KITopen-ID: 1000125496
Erschienen in Proceedings of the iDash Privacy & Security Workshop
Veranstaltung iDash Privacy & Security Workshop (2019), Bloomington, IN, USA, 26.10.2019
Schlagwörter Blockchain, DLT, Genomics
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