Search for a gene
Search for a genome
e.g. type sac to find Saccharomyces
What's New in Release 36
- 735 genomes from 444 species
- No significant updates to genomes since last release (35)
- New data
- Added gene symbols for 1-to-1 orthologs from S. cerevisiae to Botrytis cinerea
- Updated data
- Updated phenotypic annotation from PHI-base (4.3).
- Updated BioMarts
- Updated protein features
Release 37 of Ensembl Genomes is scheduled for 22nd August 2017. For more details, see the release intentions.
Register now for the EBI training course in Plant and Pathogen Bioinformatics 13th-15th November 2017, Hinxton, UK
This course will provide an introduction to data resources, tools and essential bioinformatic techniques for biologists studying plants and their pathogens. It will be delivered using a mixture of lectures, practical computer sessions and include discussions based on relevant case studies and public domain data. For more details, go to http://www.ebi.ac.uk/training/events/2017/plant-and-pathogen-bioinformatics-0.
Ensembl Fungi is a browser for fungal genomes. A majority of these are taken from the databases of the International Nucleotide Sequence Database Collaboration (the European Nucleotide Archive at the EBI, GenBank at the NCBI, and the DNA Database of Japan); in some cases, the annotation has been taken directly from the websites of the data generators.
Data can be visualised through the Ensembl genome browser and accessed programmatically via our Perl and RESTful APIs. Data is also accessible through public MySQL databases and our FTP site containing full data dumps in FASTA, EMBL, GTF, GFF3, JSON and RDF formats.
Citing Ensembl Genomes
If you've used Ensembl Genomes in your work, please cite the most recent overview article below and the Ensembl Genomes release you retrieved your data from. References for the specific genome assembly can be found on the More information and statistics page for each species (e.g., Saccharomyces cerevisiae).
Kersey PJ, et al. Ensembl Genomes 2016: more genomes, more complexity. Nucleic Acids Res. 2016 Jan;44(D1) D574-80. doi:10.1093/nar/gkv1209. PMID: 26578574; PMCID: PMC4702859.