Ensembl 2019

By Fiona Cunningham, P. Achuthan, Wasiu A. Akanni, James E. Allen, M. Amode, Irina M. Armean, Ruth Bennett, Jyothish Bhai, Konstantinos Billis, Sanjay Boddu and 58 more. Nucleic Acids Res., 2018

804 citations recorded by the source corpus.

Abstract The Ensembl project (https://www.ensembl.org) makes key genomic data sets available to the entire scientific community without restrictions. Ensembl seeks to be a fundamental resource driving scientific progress by creating, maintaining and updating reference genome annotation and comparative genomics resources. This year we describe our new and expanded gene, variant and comparative annotation capabilities, which led to a 50% increase in the number of vertebrate genomes we support. We have also doubled the number of available human variants and added regulatory regions for many mouse cell types and developmental stages. Our data sets and tools are available via the Ensembl website as well as a through a RESTful webservice, Perl application programming interface and as data files for download.

Subfields: Molecular Biology

View Paper: https://www.semanticscholar.org/paper/f22e16ba0342ab75249c62b296bc2e23dd377e54

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In Molecular Biology

1. Jaak Vilo
2. Tambet Arak
3. Liis Kolberg
4. Hedi Peterson
5. Priit Adler

Citations in the corpus

• g:Profiler: a web server for functional enrichment analysis and conversions of gene lists (2019 update) (2019, background): “The mapping is executed in two-step manner by first converting the input gene IDs provided by the user to Ensembl ENSG identifiers, and then retrieving the corresponding orthologous gene information for target species. g:Orth can be used to transfer the knowledge collected for well studied model org”