2014, Vol. 42, Database issue | Paul Flicek, M. Ridwan Amode, Daniel Barrell, Kathryn Beal, Konstantinos Billis, Simon Brent, Denise Carvalho-Silva, Peter Clapham, Guy Coates, Stephen Fitzgerald, Laurent Gil, Carlos García Girón, Leo Gordon, Thibaut Hourlier, Sarah Hunt, Nathan Johnson, Thomas Juettemann, Andreas K. Kähäri, Stephen Keenan, Eugene Kulesha, Fergal J. Martin, Thomas Maurel, William M. McLaren, Daniel N. Murphy, Rishi Nag, Bert Overduin, Miguel Pignatelli, Bethan Pritchard, Emily Pritchard, Harpreet S. Riat, Magali Ruffier, Daniel Sheppard, Kieron Taylor, Anja Thormann, Stephen J. Trevanion, Alessandro Vullo, Steven P. Wilder, Mark Wilson, Amonida Zadissa, Bronwen L. Aken, Ewan Birney, Fiona Cunningham, Jennifer Harrow, Javier Herrero, Tim J.P. Hubbard, Rhoda Kinsella, Matthieu Muffato, Anne Parker, Giulietta Spudich, Andy Yates, Daniel R. Zerbino and Stephen M.J. Searle
The Ensembl project, led by the European Molecular Biology Laboratory and the Wellcome Trust Sanger Institute, has expanded its support to 77 chordate species, including human, major vertebrate model organisms, and farm animals. Key updates include a new scrollable genome browser, improved variation and phenotype views, and enhanced gene homology relationships. The REST service has been extended to support more flexible analysis options, and the project has integrated new phenotype annotations, particularly valuable for human disease research. Ensembl also provides comprehensive data access through various tools such as BioMart, APIs, and web displays, and offers extensive training resources to support users. The project continues to focus on quality control and data management, ensuring the reliability and integrity of its resources.The Ensembl project, led by the European Molecular Biology Laboratory and the Wellcome Trust Sanger Institute, has expanded its support to 77 chordate species, including human, major vertebrate model organisms, and farm animals. Key updates include a new scrollable genome browser, improved variation and phenotype views, and enhanced gene homology relationships. The REST service has been extended to support more flexible analysis options, and the project has integrated new phenotype annotations, particularly valuable for human disease research. Ensembl also provides comprehensive data access through various tools such as BioMart, APIs, and web displays, and offers extensive training resources to support users. The project continues to focus on quality control and data management, ensuring the reliability and integrity of its resources.