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Ensembl 2018 - PubMed

  • ️Mon Jan 01 2018

. 2018 Jan 4;46(D1):D754-D761.

doi: 10.1093/nar/gkx1098.

Premanand Achuthan  1 Wasiu Akanni  1 M Ridwan Amode  1 Daniel Barrell  1   2 Jyothish Bhai  1 Konstantinos Billis  1 Carla Cummins  1 Astrid Gall  1 Carlos García Girón  1 Laurent Gil  1 Leo Gordon  1 Leanne Haggerty  1 Erin Haskell  1 Thibaut Hourlier  1 Osagie G Izuogu  1 Sophie H Janacek  1 Thomas Juettemann  1 Jimmy Kiang To  1 Matthew R Laird  1 Ilias Lavidas  1 Zhicheng Liu  1 Jane E Loveland  1 Thomas Maurel  1 William McLaren  1 Benjamin Moore  1 Jonathan Mudge  1 Daniel N Murphy  1 Victoria Newman  1 Michael Nuhn  1 Denye Ogeh  1 Chuang Kee Ong  1 Anne Parker  1 Mateus Patricio  1 Harpreet Singh Riat  1 Helen Schuilenburg  1 Dan Sheppard  1 Helen Sparrow  1 Kieron Taylor  1 Anja Thormann  1 Alessandro Vullo  1 Brandon Walts  1 Amonida Zadissa  1 Adam Frankish  1 Sarah E Hunt  1 Myrto Kostadima  1 Nicholas Langridge  1 Fergal J Martin  1 Matthieu Muffato  1 Emily Perry  1 Magali Ruffier  1 Dan M Staines  1 Stephen J Trevanion  1 Bronwen L Aken  1 Fiona Cunningham  1 Andrew Yates  1 Paul Flicek  1   3

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Ensembl 2018

Daniel R Zerbino et al. Nucleic Acids Res. 2018.

Abstract

The Ensembl project has been aggregating, processing, integrating and redistributing genomic datasets since the initial releases of the draft human genome, with the aim of accelerating genomics research through rapid open distribution of public data. Large amounts of raw data are thus transformed into knowledge, which is made available via a multitude of channels, in particular our browser (http://www.ensembl.org). Over time, we have expanded in multiple directions. First, our resources describe multiple fields of genomics, in particular gene annotation, comparative genomics, genetics and epigenomics. Second, we cover a growing number of genome assemblies; Ensembl Release 90 contains exactly 100. Third, our databases feed simultaneously into an array of services designed around different use cases, ranging from quick browsing to genome-wide bioinformatic analysis. We present here the latest developments of the Ensembl project, with a focus on managing an increasing number of assemblies, supporting efforts in genome interpretation and improving our browser.

© The Author(s) 2017. Published by Oxford University Press on behalf of Nucleic Acids Research.

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Figures

Figure 1.
Figure 1.

ORC4 gene tree across 84 species.

Figure 2.
Figure 2.

Detailed variant reports. (A) Variant minor allele frequencies of a given variant across gnomAD populations. (B) Variant association table, as returned by the ontology-aware search, that contains results closely related to the query, in this case ‘glaucoma’.

Figure 3.
Figure 3.

Quick selection menus. (A) The species selection tool can be used to quickly search for species by clade. (B) The plot gallery produces direct links to all Ensembl views and resources regarding a gene, variant or locus of interest.

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