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Dive into the research topics where Damian Keefe is active.

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Featured researches published by Damian Keefe.


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.


Science | 2010

Heritable Individual-Specific and Allele-Specific Chromatin Signatures in Humans

Ryan M. McDaniell; Bum Kyu Lee; Lingyun Song; Zheng Liu; Alan P. Boyle; Michael R. Erdos; Laura J. Scott; Mario A. Morken; Katerina S. Kucera; Anna Battenhouse; Damian Keefe; Francis S. Collins; Huntington F. Willard; Jason D. Lieb; Terrence S. Furey; Gregory E. Crawford; Vishwanath R. Iyer; Ewan Birney

Like Father, Like Mother, Like Child Transcriptional regulation is mediated by chromatin structure, which may affect the binding of transcription factors, but the extent of how individual-to-individual genetic variation affects such regulation is not well understood. Kasowski et al. (p. 232, published online 18 March) investigated the binding of two transcription factors across the genomes of human individuals and one chimpanzee. Transcription factor binding was associated with genomic features such as nucleotide variation, insertions and deletions, and copy number variation. Thus, genomic sequence variation affects transcription factor binding and may explain expression difference among individuals. McDaniell et al. (p. 235, published online 18 March) provide a genome-wide catalog of variation in chromatin and transcription factor binding in two parent-child trios of European and African ancestry. Up to 10% of active chromatin binding sites were specific to a set of individuals and were often inherited. Furthermore, variation in active chromatin sites showed heritable allele-specific correlation with variation in gene expression. An appreciable amount of variation in chromatin status and transcription factor binding has a genetic basis. The extent to which variation in chromatin structure and transcription factor binding may influence gene expression, and thus underlie or contribute to variation in phenotype, is unknown. To address this question, we cataloged both individual-to-individual variation and differences between homologous chromosomes within the same individual (allele-specific variation) in chromatin structure and transcription factor binding in lymphoblastoid cells derived from individuals of geographically diverse ancestry. Ten percent of active chromatin sites were individual-specific; a similar proportion were allele-specific. Both individual-specific and allele-specific sites were commonly transmitted from parent to child, which suggests that they are heritable features of the human genome. Our study shows that heritable chromatin status and transcription factor binding differ as a result of genetic variation and may underlie phenotypic variation in humans.


Nucleic Acids Research | 2003

Ensembl 2002: accommodating comparative genomics

Michele Clamp; D. Andrews; Darren Barker; Paul Bevan; Graham Cameron; Yuting Chen; Louise Clark; Tony Cox; James Cuff; Val Curwen; Thomas A. Down; Richard Durbin; Eduardo Eyras; James Gilbert; Martin Hammond; Tim Hubbard; Arek Kasprzyk; Damian Keefe; Heikki Lehväslaiho; Vishwanath R. Iyer; Craig Melsopp; Emmanuel Mongin; Roger Pettett; Simon Potter; Alistair G. Rust; Esther Schmidt; Steve Searle; Guy Slater; James Smith; William Spooner

The Ensembl (http://www.ensembl.org/) database project provides a bioinformatics framework to organise biology around the sequences of large genomes. It is a comprehensive source of stable automatic annotation of human, mouse and other genome sequences, available as either an interactive web site or as flat files. Ensembl also integrates manually annotated gene structures from external sources where available. As well as being one of the leading sources of genome annotation, Ensembl is an open source software engineering project to develop a portable system able to handle very large genomes and associated requirements. These range from sequence analysis to data storage and visualisation and installations exist around the world in both companies and at academic sites. With both human and mouse genome sequences available and more vertebrate sequences to follow, many of the recent developments in Ensembl have focusing on developing automatic comparative genome analysis and visualisation.


Genome Research | 2011

High-resolution genome-wide in vivo footprinting of diverse transcription factors in human cells.

Alan P. Boyle; Lingyun Song; Bum Kyu Lee; Darin London; Damian Keefe; Ewan Birney; Vishwanath R. Iyer; Gregory E. Crawford; Terrence S. Furey

Regulation of gene transcription in diverse cell types is determined largely by varied sets of cis-elements where transcription factors bind. Here we demonstrate that data from a single high-throughput DNase I hypersensitivity assay can delineate hundreds of thousands of base-pair resolution in vivo footprints in human cells that precisely mark individual transcription factor-DNA interactions. These annotations provide a unique resource for the investigation of cis-regulatory elements. We find that footprints for specific transcription factors correlate with ChIP-seq enrichment and can accurately identify functional versus nonfunctional transcription factor motifs. We also find that footprints reveal a unique evolutionary conservation pattern that differentiates functional footprinted bases from surrounding DNA. Finally, detailed analysis of CTCF footprints suggests multiple modes of binding and a novel DNA binding motif upstream of the primary binding site.


Proceedings of the National Academy of Sciences of the United States of America | 2009

A gene regulatory network directed by zebrafish No tail accounts for its roles in mesoderm formation.

Rosalind H. Morley; Kim Lachani; Damian Keefe; Michael J. Gilchrist; Paul Flicek; James C. Smith; Fiona C. Wardle

Using chromatin immunoprecipitation combined with genomic microarrays we have identified targets of No tail (Ntl), a zebrafish Brachyury ortholog that plays a central role in mesoderm formation. We show that Ntl regulates a downstream network of other transcription factors and identify an in vivo Ntl binding site that resembles the consensus T-box binding site (TBS) previously identified by in vitro studies. We show that the notochord-expressed gene floating head (flh) is a direct transcriptional target of Ntl and that a combination of TBSs in the flh upstream region are required for Ntl-directed expression. Using our genome-scale data we have assembled a preliminary gene regulatory network that begins to describe mesoderm formation and patterning in the early zebrafish embryo.


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


Genome Research | 2003

EnsMart: A Generic System for Fast and Flexible Access to Biological Data

Arek Kasprzyk; Damian Keefe; Damian Smedley; Darin London; William Spooner; Craig Melsopp; Martin Hammond; Philippe Rocca-Serra; Tony Cox; Ewan Birney


Genome Research | 2004

An Overview of Ensembl

Ewan Birney; T. Daniel Andrews; Paul Bevan; Mario Caccamo; Yuan Chen; Laura Clarke; Guy Coates; James Cuff; Val Curwen; Tim Cutts; Thomas A. Down; Eduardo Eyras; Xosé M. Fernández-Suárez; Paul Gane; Brian Gibbins; James Gilbert; Martin Hammond; Hans-Rudolf Hotz; Vivek Iyer; Kerstin Jekosch; Andreas Kähäri; Arek Kasprzyk; Damian Keefe; Stephen Keenan; Heikki Lehväslaiho; Graham McVicker; Craig Melsopp; Patrick Meidl; Emmanuel Mongin; Roger Pettett


Genome Research | 2011

Open chromatin defined by DNaseI and FAIRE identifies regulatory elements that shape cell-type identity

Lingyun Song; Zhancheng Zhang; Linda L. Grasfeder; Alan P. Boyle; Paul G. Giresi; Bum Kyu Lee; Nathan C. Sheffield; Stefan Gräf; Mikael Huss; Damian Keefe; Zheng Liu; Darin London; Ryan M. McDaniell; Yoichiro Shibata; Kimberly A. Showers; Jeremy M. Simon; Teresa Vales; Tianyuan Wang; Deborah R. Winter; Zhuzhu Zhang; Neil D. Clarke; Ewan Birney; Vishwanath R. Iyer; Gregory E. Crawford; Jason D. Lieb; Terrence S. Furey


Genome Research | 2007

Analyses of deep mammalian sequence alignments and constraint predictions for 1% of the human genome

Elliott H. Margulies; Gregory M. Cooper; George Asimenos; Daryl J. Thomas; Colin N. Dewey; Adam Siepel; Ewan Birney; Damian Keefe; Ariel S. Schwartz; Minmei Hou; James Taylor; Sergey Igorievich Nikolaev; Juan I. Montoya-Burgos; Ari Löytynoja; Simon Whelan; Tim Massingham; James B. Brown; Peter J. Bickel; Ian Holmes; James C. Mullikin; Abel Ureta-Vidal; Benedict Paten; Eric A. Stone; Kate R. Rosenbloom; W. James Kent; Gerard G. Bouffard; Xiaobin Guan; Nancy F. Hansen; Jacquelyn R. Idol; Valerie Maduro

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Ewan Birney

European Bioinformatics Institute

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Martin Hammond

European Bioinformatics Institute

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Vishwanath R. Iyer

University of Texas at Austin

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Craig Melsopp

European Bioinformatics Institute

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Paul Flicek

European Bioinformatics Institute

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Stefan Gräf

University of Cambridge

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Bum Kyu Lee

University of Texas at Austin

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