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Ensembl 2015.

Authors :
Cunningham F
Amode MR
Barrell D
Beal K
Billis K
Brent S
Carvalho-Silva D
Clapham P
Coates G
Fitzgerald S
Gil L
Girón CG
Gordon L
Hourlier T
Hunt SE
Janacek SH
Johnson N
Juettemann T
Kähäri AK
Keenan S
Martin FJ
Maurel T
McLaren W
Murphy DN
Nag R
Overduin B
Parker A
Patricio M
Perry E
Pignatelli M
Riat HS
Sheppard D
Taylor K
Thormann A
Vullo A
Wilder SP
Zadissa A
Aken BL
Birney E
Harrow J
Kinsella R
Muffato M
Ruffier M
Searle SM
Spudich G
Trevanion SJ
Yates A
Zerbino DR
Flicek P
Source :
Nucleic acids research [Nucleic Acids Res] 2015 Jan; Vol. 43 (Database issue), pp. D662-9. Date of Electronic Publication: 2014 Oct 28.
Publication Year :
2015

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.<br /> (© The Author(s) 2014. Published by Oxford University Press on behalf of Nucleic Acids Research.)

Details

Language :
English
ISSN :
1362-4962
Volume :
43
Issue :
Database issue
Database :
MEDLINE
Journal :
Nucleic acids research
Publication Type :
Academic Journal
Accession number :
25352552
Full Text :
https://doi.org/10.1093/nar/gku1010