As of Ensembl 110 / Ensembl Genomes 57, gene trees within Ensembl Metazoa have been expanded to cover 275 species by dividing them into 3 taxonomic clade sets: Metazoa, Protostomia, and Insecta. In addition, the release and update frequency of metazoan gene trees will change, with Metazoa and Protostomia being updated in every even-numbered release and Insecta being updated in every odd-numbered release. Read on to find out more about this update.

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In Ensembl release 109, we introduce a new display that integrates experimentally verified interactions between genes, proteins, mRNA or other small molecules onto our gene pages. This adds an additional layer of data that enables deeper analysis into the ways species interact in a variety of contexts. So far, we have imported curated interactions from PHI-base, HPIDB, and PlasticDB for which we could find exact protein matches in Ensembl.

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We are updating SIFT and PolyPhen-2 predictions of missense variant deleteriousness in the Ensembl browser and Ensembl VEP with the new release 109. We have recalculated all scores using newer software versions, updating PolyPhen-2 from 2.2.2 to 2.2.3 and SIFT from version 5.2.2 to 6.2.1. When we update software and reference data versions, we expect to see changes in some predictions. This is a guide as to what you can expect.

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We are pleased to announce that Ensembl Rapid Release 40 with 94 new genomes is now live! With Rapid Release 40, we also introduce the first of many invertebrate-themed Ensembl Rapid Releases. The inaugural theme has an emphasis on scientific advancements in global food security. We have added 21 agriculturally significant insect species, which include organisms viewed as priorities in the pursuit of boosting fundamental biological understanding and insights into biological control mechanisms, both indispensable to increase global food production and availability.

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Global biodiversity projects, including the Darwin Tree of Life project, are producing a large number of high-quality genome assemblies. At Ensembl our goal is to generate high quality, evidence-based gene annotations for all high-quality assemblies, using the latest software components to ensure a continued high standard of genome annotation, even when the available data are limited.

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