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Updated: May 5, 2026

Navigating MARRVEL, a Web-Based Tool that Integrates Human Genomics and Model Organism Genetics Information
Published on: August 15, 2019
The Vertebrate Genome Annotation browser 10 years on.
Jennifer L Harrow1, Charles A Steward, Adam Frankish
1Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, Cambridgeshire CB10 1HH, UK.
The Vertebrate Genome Annotation (VEGA) database now offers enhanced navigation for five reference genomes. It provides rapid updates for manual gene annotation, improving accessibility for researchers.
Area of Science:
- Genomics
- Bioinformatics
- Comparative Genomics
Background:
- The Vertebrate Genome Annotation (VEGA) database was initially developed for manual annotation of the human genome.
- It has expanded to include five reference genomes: human, mouse, zebrafish, pig, and rat.
Purpose of the Study:
- To redesign the VEGA database introduction pages for improved user navigation.
- To enhance accessibility to multi-species haplotypic regions and comparative genomic tools.
- To highlight the integration of manually annotated updates from the Genome Reference Consortium (GRC).
Main Methods:
- Redesign of VEGA database introduction pages for intuitive navigation.
- Implementation of an update track for rapid dissemination of gene annotation changes.
- Development of comparative tools for analyzing haplotypic subregions.
Main Results:
- VEGA now facilitates easier navigation between whole genomes and specific haplotypic regions.
- The Human And Vertebrate Analysis aNd Annotation (HAVANA) update track ensures bi-weekly updates of gene annotations.
- Users can more readily access and compare diverse haplotypic subregions, including those from the non-obese diabetic mouse.
Conclusions:
- The redesigned VEGA database offers a more user-friendly interface for accessing and analyzing vertebrate genome annotations.
- Frequent updates via the HAVANA track accelerate the availability of new gene information to the research community.
- Enhanced comparative tools and access to specific haplotypic regions improve the utility of VEGA for genomic research.
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