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BioQ: tracing experimental origins in public genomic databases using a novel data provenance model
Scott F Saccone1, Jiaxi Quan, Peter L Jones
1Department of Psychiatry, Washington University, Saint Louis, MO 63110, USA. ssaccone@wustl.edu
Bioinformatics (Oxford, England)
|March 20, 2012
Summary
BioQ is a new web application that traces the experimental origins of genomic data, enhancing reliability in genetic studies. It helps researchers assess data integrity by linking it to original subjects and biologics.
Area of Science:
- Genomics
- Bioinformatics
- Computational Biology
Background:
- Public genomic databases are crucial for human disease genetic studies and genomic medicine.
- Current databases often lack systematic tools to determine the experimental origins of data.
- Assessing data reliability is essential for accurate genomic research.
Purpose of the Study:
- To introduce a novel data provenance model for assessing the reliability of genomic data.
- To implement this model in a public web application, BioQ.
- To enable systematic tracing of experimental origins for genomic data.
Main Methods:
- Developed a data provenance model.
- Implemented the model in a public web application called BioQ.
- BioQ visualizes data provenance and allows exploration of experimental process flow.
- Integrated human genetic variation databases like HapMap and 1000 Genomes.
Main Results:
- BioQ enables systematic tracing of genomic data back to original subjects and biologics.
- The application provides tools for detailed data exploration and documentation.
- Investigators can visualize and explore data provenance effectively.
- Enhanced reliability assessment for data in public genomic databases.
Conclusions:
- BioQ provides a robust solution for data provenance in genomic medicine.
- The tool improves the systematic assessment of genomic data reliability.
- Facilitates more trustworthy in silico integrative genomics research.
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