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Published on: January 26, 2024
Ensembl 2024
Peter W Harrison1, M Ridwan Amode1, Olanrewaju Austine-Orimoloye1
1European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge, Cambridgeshire CB10 1SD, UK.
Ensembl provides comprehensive genomic annotations and tools, expanding its support for global biodiversity and agricultural research with over 1700 annotated genomes. This enhances comparative genomics and variant analysis for researchers worldwide.
Area of Science:
- Genomics
- Bioinformatics
- Comparative Genomics
Background:
- Ensembl has been a key genomic resource for over 20 years, providing annotations and tools for vertebrates and model organisms.
- The genomic landscape is rapidly evolving with an increase in high-quality reference genomes and pan-genome representations.
- There is a growing need for scalable annotation and analysis tools to support biodiversity and agricultural research.
Purpose of the Study:
- To scale Ensembl's capacity for rapid annotation of new genome assemblies.
- To develop advanced methods for comparative genomic analysis.
- To enhance the depth and quality of genome annotations and support global research efforts.
Main Methods:
- Continued expansion of annotated genomes on the Ensembl Rapid Release site, doubling the number to over 1700.
- Strengthened support for agricultural species, including regulatory builds for farmed animals.
- Updates to key tools such as the Ensembl Variant Effect Predictor.
Main Results:
- Over 1700 annotated genomes now available on the Rapid Release site, supporting global biodiversity research.
- Enhanced regulatory annotation for key agricultural species.
- Improved tools and resources available to the scientific community.
Conclusions:
- Ensembl continues to adapt to the evolving genomic landscape by scaling its annotation capabilities and expanding its resource breadth.
- The platform's focus on comparative analysis and annotation quality supports global biodiversity and agricultural research.
- Freely available Ensembl data, software, and tools accelerate downstream scientific discovery.
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