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SCHOLARLY PUBLICATION ✓ Open Access

Ensembl 2017

Bronwen L. Aken, Premanand Achuthan, Wasiu A. Akanni, M Ridwan Amode, Friederike Bernsdorff, Jyothish N Nair Thulasee Bhai, Konstantinos Billis, Denise Carvalho‐Silva, Carla A. Cummins, Peter Clapham, Laurent Gil, Carlos García Girón, Leo I. Gordon, Thibaut Hourlier, Sarah E Hunt, Sophie Helen Janacek, Thomas Juettemann, Stephen Keenan, Matthew R. Laird, Ilias Lavidas, Thomas Maurel, William M. McLaren, Benjamin Moore, Daniel N. Murphy, Rishi Nag, Victoria Newman, Michael Nuhn, Chuang Kee Ong, Anne Parker, Mateus Patrício

📄 Abstract

Ensembl (www.ensembl.org) is a database and genome browser for enabling research on vertebrate genomes. We import, analyse, curate and integrate a diverse collection of large-scale reference data to create a more comprehensive view of genome biology than would be possible from any individual dataset. Our extensive data resources include evidence-based gene and regulatory region annotation, genome variation and gene trees. An accompanying suite of tools, infrastructure and programmatic access methods ensure uniform data analysis and distribution for all supported species. Together, these provide a comprehensive solution for large-scale and targeted genomics applications alike. Among many other developments over the past year, we have improved our resources for gene regulation and comparative genomics, and added CRISPR/Cas9 target sites. We released new browser functionality and tools, including improved filtering and prioritization of genome variation, Manhattan plot visualization for linkage disequilibrium and eQTL data, and an ontology search for phenotypes, traits and disease. We have also enhanced data discovery and access with a track hub registry and a selection of new REST end points. All Ensembl data are freely released to the scientific community and our source code is available via the open source Apache 2.0 license.

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