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Featured researches published by Anne Parker.


Nucleic Acids Research | 2010

Ensembl’s 10th year

Paul Flicek; Bronwen Aken; Benoit Ballester; Kathryn Beal; Eugene Bragin; Simon Brent; Yuan Chen; Peter Clapham; Guy Coates; Susan Fairley; Stephen Fitzgerald; Julio Fernandez-Banet; Leo Gordon; Stefan Gräf; Syed Haider; Martin Hammond; Kerstin Howe; Andrew M. Jenkinson; Nathan Johnson; Andreas Kähäri; Damian Keefe; Stephen Keenan; Rhoda Kinsella; Felix Kokocinski; Gautier Koscielny; Eugene Kulesha; Daniel Lawson; Ian Longden; Tim Massingham; William M. McLaren

Ensembl (http://www.ensembl.org) integrates genomic information for a comprehensive set of chordate genomes with a particular focus on resources for human, mouse, rat, zebrafish and other high-value sequenced genomes. We provide complete gene annotations for all supported species in addition to specific resources that target genome variation, function and evolution. Ensembl data is accessible in a variety of formats including via our genome browser, API and BioMart. This year marks the tenth anniversary of Ensembl and in that time the project has grown with advances in genome technology. As of release 56 (September 2009), Ensembl supports 51 species including marmoset, pig, zebra finch, lizard, gorilla and wallaby, which were added in the past year. Major additions and improvements to Ensembl since our previous report include the incorporation of the human GRCh37 assembly, enhanced visualisation and data-mining options for the Ensembl regulatory features and continued development of our software infrastructure.


PLOS Genetics | 2009

Discovery of Candidate Disease Genes in ENU–Induced Mouse Mutants by Large-Scale Sequencing, Including a Splice-Site Mutation in Nucleoredoxin

Melissa K. Boles; Bonney Wilkinson; Laurens Wilming; Bin Liu; Frank J. Probst; Jennifer Harrow; Darren Grafham; Kathryn E. Hentges; Lanette P. Woodward; Andrea Maxwell; Karen Mitchell; Michael Risley; Randy L. Johnson; Karen K. Hirschi; James R. Lupski; Yosuke Funato; Hiroaki Miki; Pablo Marin-Garcia; Lucy Matthews; Alison J. Coffey; Anne Parker; Tim Hubbard; Jane Rogers; Allan Bradley; David J. Adams; Monica J. Justice

An accurate and precisely annotated genome assembly is a fundamental requirement for functional genomic analysis. Here, the complete DNA sequence and gene annotation of mouse Chromosome 11 was used to test the efficacy of large-scale sequencing for mutation identification. We re-sequenced the 14,000 annotated exons and boundaries from over 900 genes in 41 recessive mutant mouse lines that were isolated in an N-ethyl-N-nitrosourea (ENU) mutation screen targeted to mouse Chromosome 11. Fifty-nine sequence variants were identified in 55 genes from 31 mutant lines. 39% of the lesions lie in coding sequences and create primarily missense mutations. The other 61% lie in noncoding regions, many of them in highly conserved sequences. A lesion in the perinatal lethal line l11Jus13 alters a consensus splice site of nucleoredoxin (Nxn), inserting 10 amino acids into the resulting protein. We conclude that point mutations can be accurately and sensitively recovered by large-scale sequencing, and that conserved noncoding regions should be included for disease mutation identification. Only seven of the candidate genes we report have been previously targeted by mutation in mice or rats, showing that despite ongoing efforts to functionally annotate genes in the mammalian genome, an enormous gap remains between phenotype and function. Our data show that the classical positional mapping approach of disease mutation identification can be extended to large target regions using high-throughput sequencing.


Database | 2016

Ensembl regulation resources

Daniel R. Zerbino; Nathan Johnson; Thomas Juetteman; Dan Sheppard; Steven P. Wilder; Ilias Lavidas; Michael Nuhn; Emily Perry; Quentin Raffaillac-Desfosses; Daniel Sobral; Damian Keefe; Stefan Gräf; Ikhlak Ahmed; Rhoda Kinsella; Bethan Pritchard; Simon Brent; Ridwan Amode; Anne Parker; Steven Trevanion; Ewan Birney; Ian Dunham; Paul Flicek

New experimental techniques in epigenomics allow researchers to assay a diversity of highly dynamic features such as histone marks, DNA modifications or chromatin structure. The study of their fluctuations should provide insights into gene expression regulation, cell differentiation and disease. The Ensembl project collects and maintains the Ensembl regulation data resources on epigenetic marks, transcription factor binding and DNA methylation for human and mouse, as well as microarray probe mappings and annotations for a variety of chordate genomes. From this data, we produce a functional annotation of the regulatory elements along the human and mouse genomes with plans to expand to other species as data becomes available. Starting from well-studied cell lines, we will progressively expand our library of measurements to a greater variety of samples. Ensembl’s regulation resources provide a central and easy-to-query repository for reference epigenomes. As with all Ensembl data, it is freely available at http://www.ensembl.org, from the Perl and REST APIs and from the public Ensembl MySQL database server at ensembldb.ensembl.org. Database URL: http://www.ensembl.org


BMC Bioinformatics | 2010

Using caching and optimization techniques to improve performance of the Ensembl website

Anne Parker; Eugene Bragin; Simon Brent; Bethan Pritchard; James Smith; Stephen J. Trevanion


Archive | 2010

Correspondencecaching and optimization techniques to improve performance of the Ensembl website

Anne Parker; Eugene Bragin; Simon Brent; Bethan Pritchard; James Smith; Stephen J. Trevanion


Archive | 2009

Open-Source Software for Large-Scale Genome Analysis

Anne Parker; Fiona Cunningham

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Simon Brent

Wellcome Trust Sanger Institute

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Bethan Pritchard

Wellcome Trust Sanger Institute

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Eugene Bragin

Wellcome Trust Sanger Institute

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Damian Keefe

European Bioinformatics Institute

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James Smith

Wellcome Trust Sanger Institute

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Nathan Johnson

European Bioinformatics Institute

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Paul Flicek

European Bioinformatics Institute

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Rhoda Kinsella

European Bioinformatics Institute

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Stefan Gräf

European Bioinformatics Institute

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Stephen J. Trevanion

Wellcome Trust Sanger Institute

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