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Updated: May 16, 2026
09:37
Navigating MARRVEL, a Web-Based Tool that Integrates Human Genomics and Model Organism Genetics Information
Published on: August 15, 2019
DbVar and DGVa: public archives for genomic structural variation.
Ilkka Lappalainen1, John Lopez, Lisa Skipper
1European Bioinformatics Institute, Hinxton, CB10 1SD Cambridgeshire, UK.
Nucleic Acids Research
|November 30, 2012
Summary
The Database of Genomic Variation (DGVa) and dbVar have expanded their genomic variation data processing. They now include over 100 studies across 11 organisms, enhancing data accessibility.
Area of Science:
- Genomics
- Bioinformatics
- Data Science
Background:
- The Database of Genomic Variation (DGVa) and dbVar are crucial resources for genomic variation data.
- Previous data acquisition relied heavily on literature curation.
Purpose of the Study:
- To detail recent advancements and expanded capabilities of DGVa and dbVar.
- To highlight improvements in data processing, modeling, and accessibility.
Main Methods:
- Processing direct submissions of genomic variation data.
- Curating data from over 100 studies across 11 organisms.
- Enhancing data models, submission workflows, and representation.
Main Results:
- Expanded joint study catalog with data from diverse sources, including human control/case populations and tumor samples.
- Significant improvements in data access through web and FTP interfaces.
- Streamlined data submission and processing pipelines.
Conclusions:
- DGVa and dbVar have substantially increased their data scope and processing efficiency.
- Enhanced data accessibility facilitates broader genomic research.
- The updated infrastructure supports a growing volume of genomic variation data.
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