Ensembl 2015

2014 Nucleic Acids Research 1,150 citations

Abstract

Ensembl (http://www.ensembl.org) is a genomic interpretation system providing the most up-to-date annotations, querying tools and access methods for chordates and key model organisms. This year we released updated annotation (gene models, comparative genomics, regulatory regions and variation) on the new human assembly, GRCh38, although we continue to support researchers using the GRCh37.p13 assembly through a dedicated site (http://grch37.ensembl.org). Our Regulatory Build has been revamped to identify regulatory regions of interest and to efficiently highlight their activity across disparate epigenetic data sets. A number of new interfaces allow users to perform large-scale comparisons of their data against our annotations. The REST server (http://rest.ensembl.org), which allows programs written in any language to query our databases, has moved to a full service alongside our upgraded website tools. Our online Variant Effect Predictor tool has been updated to process more variants and calculate summary statistics. Lastly, the WiggleTools package enables users to summarize large collections of data sets and view them as single tracks in Ensembl. The Ensembl code base itself is more accessible: it is now hosted on our GitHub organization page (https://github.com/Ensembl) under an Apache 2.0 open source license.

Keywords

EnsemblComputer scienceData curationWorld Wide WebCRFSGenomicsBiologyBioinformaticsData scienceGenomeGeneGeneticsArtificial intelligence

MeSH Terms

AnimalsDatabasesNucleic AcidEpigenesisGeneticGenetic VariationGenomeHumanGenomicsHumansInternetMiceMolecular Sequence AnnotationRegulatory SequencesNucleic AcidSoftware

Affiliated Institutions

Related Publications

Publication Info

Year
2014
Type
article
Volume
43
Issue
D1
Pages
D662-D669
Citations
1150
Access
Closed

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1150
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33
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1078
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Cite This

Fiona Cunningham, M Ridwan Amode, Daniel Barrell et al. (2014). Ensembl 2015. Nucleic Acids Research , 43 (D1) , D662-D669. https://doi.org/10.1093/nar/gku1010

Identifiers

DOI
10.1093/nar/gku1010
PMID
25352552
PMCID
PMC4383879

Data Quality

Data completeness: 90%