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Published on: January 26, 2024
Ensembl 2022
Fiona Cunningham1, James E Allen1, Jamie Allen1
1European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SD, UK.
Ensembl has released a record number of newly annotated genomes, including non-vertebrate eukaryotes, using its Rapid Release platform. New methods enable large-scale comparative analyses for diverse species genomic data.
Area of Science:
- Genomics
- Bioinformatics
- Eukaryotic Annotation
Background:
- Ensembl provides flexible infrastructure for genomic data access and annotation at scale for eukaryotic life.
- Increasing sequencing of diverse species necessitates efficient annotation of new genome assemblies.
- Ensembl offers deep annotation for key species and continuously updates reference vertebrate genomes.
Purpose of the Study:
- To report the largest annual release of newly annotated genomes in Ensembl history.
- To introduce scalable comparative analysis methods for new genome assemblies.
- To expand annotation to non-vertebrate eukaryotes for the first time.
Main Methods:
- Utilized the Ensembl Rapid Release platform for expedited annotation of new assemblies.
- Developed a novel method for generating comparative analyses at scale.
- Annotated diverse non-vertebrate eukaryotic genomes.
- Continued improvement and updates for high-value reference vertebrate genomes.
Main Results:
- Achieved the greatest annual number of newly annotated genomes in Ensembl's history.
- Successfully annotated non-vertebrate eukaryotes, expanding genomic data accessibility.
- Implemented scalable comparative analysis for a wider range of species.
- Provided updated annotation for reference vertebrate genomes.
Conclusions:
- Ensembl's infrastructure efficiently delivers genomic annotation at scale, now encompassing a broader diversity of eukaryotic life.
- New methods and platforms enhance the speed and scope of genome annotation and comparative analysis.
- Freely available Ensembl data, software, and tools support programmatic access and further research.
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