BioQ: Tracing experimental origins in public genomic databases using a novel data provenance model

Scott F. Saccone, Jiaxi Quan, Peter L. Jones

Research output: Contribution to journalArticle

10 Scopus citations

Abstract

Motivation: Public genomic databases, which are often used to guide genetic studies of human disease, are now being applied to genomic medicine through in silico integrative genomics. These databases, however, often lack tools for systematically determining the experimental origins of the data.Results: We introduce a new data provenance model that we have implemented in a public web application, BioQ, for assessing the reliability of the data by systematically tracing its experimental origins to the original subjects and biologics. BioQ allows investigators to both visualize data provenance as well as explore individual elements of experimental process flow using precise tools for detailed data exploration and documentation. It includes a number of human genetic variation databases such as the HapMap and 1000 Genomes projects.

Original languageEnglish
Article numberbts117
Pages (from-to)1189-1191
Number of pages3
JournalBioinformatics
Volume28
Issue number8
DOIs
StatePublished - Apr 1 2012

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