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Database | 2011

Ensembl BioMarts: a hub for data retrieval across taxonomic space

Rhoda Kinsella; Andreas Kähäri; Syed Haider; Jorge Zamora; Glenn Proctor; Giulietta Spudich; Jeff Almeida-King; Daniel M. Staines; Paul S. Derwent; Arnaud Kerhornou; Paul Kersey; Paul Flicek

For a number of years the BioMart data warehousing system has proven to be a valuable resource for scientists seeking a fast and versatile means of accessing the growing volume of genomic data provided by the Ensembl project. The launch of the Ensembl Genomes project in 2009 complemented the Ensembl project by utilizing the same visualization, interactive and programming tools to provide users with a means for accessing genome data from a further five domains: protists, bacteria, metazoa, plants and fungi. The Ensembl and Ensembl Genomes BioMarts provide a point of access to the high-quality gene annotation, variation data, functional and regulatory annotation and evolutionary relationships from genomes spanning the taxonomic space. This article aims to give a comprehensive overview of the Ensembl and Ensembl Genomes BioMarts as well as some useful examples and a description of current data content and future objectives. Database URLs: http://www.ensembl.org/biomart/martview/; http://metazoa.ensembl.org/biomart/martview/; http://plants.ensembl.org/biomart/martview/; http://protists.ensembl.org/biomart/martview/; http://fungi.ensembl.org/biomart/martview/; http://bacteria.ensembl.org/biomart/martview/


Nucleic Acids Research | 2016

Ensembl Genomes 2016: more genomes, more complexity

Paul J. Kersey; James E. Allen; Irina M. Armean; Sanjay Boddu; Bruce J. Bolt; Denise R. Carvalho-Silva; Mikkel Christensen; Paul Davis; Lee J. Falin; Christoph Grabmueller; Jay Humphrey; Arnaud Kerhornou; Julia Khobova; Naveen K. Aranganathan; Nicholas Langridge; Ernesto Lowy; Mark D. McDowall; Uma Maheswari; Michael Nuhn; Chuang Kee Ong; Bert Overduin; Michael Paulini; Helder Pedro; Emily Perry; Giulietta Spudich; Electra Tapanari; Brandon Walts; Gareth Williams; Marcela Tello–Ruiz; Joshua C. Stein

Ensembl Genomes (http://www.ensemblgenomes.org) is an integrating resource for genome-scale data from non-vertebrate species, complementing the resources for vertebrate genomics developed in the context of the Ensembl project (http://www.ensembl.org). Together, the two resources provide a consistent set of programmatic and interactive interfaces to a rich range of data including reference sequence, gene models, transcriptional data, genetic variation and comparative analysis. This paper provides an update to the previous publications about the resource, with a focus on recent developments. These include the development of new analyses and views to represent polyploid genomes (of which bread wheat is the primary exemplar); and the continued up-scaling of the resource, which now includes over 23 000 bacterial genomes, 400 fungal genomes and 100 protist genomes, in addition to 55 genomes from invertebrate metazoa and 39 genomes from plants. This dramatic increase in the number of included genomes is one part of a broader effort to automate the integration of archival data (genome sequence, but also associated RNA sequence data and variant calls) within the context of reference genomes and make it available through the Ensembl user interfaces.


Nucleic Acids Research | 2012

PomBase: a comprehensive online resource for fission yeast

Valerie Wood; Midori A. Harris; Mark D. McDowall; Kim Rutherford; Brendan W. Vaughan; Daniel M. Staines; Martin Aslett; Antonia Lock; Jürg Bähler; Paul J. Kersey; Stephen G. Oliver

PomBase (www.pombase.org) is a new model organism database established to provide access to comprehensive, accurate, and up-to-date molecular data and biological information for the fission yeast Schizosaccharomyces pombe to effectively support both exploratory and hypothesis-driven research. PomBase encompasses annotation of genomic sequence and features, comprehensive manual literature curation and genome-wide data sets, and supports sophisticated user-defined queries. The implementation of PomBase integrates a Chado relational database that houses manually curated data with Ensembl software that supports sequence-based annotation and web access. PomBase will provide user-friendly tools to promote curation by experts within the fission yeast community. This will make a key contribution to shaping its content and ensuring its comprehensiveness and long-term relevance.


Nucleic Acids Research | 2014

Ensembl Genomes 2013: scaling up access to genome-wide data

Paul J. Kersey; James E. Allen; Mikkel Christensen; Paul Davis; Lee J. Falin; Christoph Grabmueller; Daniel Seth Toney Hughes; Jay Humphrey; Arnaud Kerhornou; Julia Khobova; Nicholas Langridge; Mark D. McDowall; Uma Maheswari; Gareth Maslen; Michael Nuhn; Chuang Kee Ong; Michael Paulini; Helder Pedro; Iliana Toneva; Mary Ann Tuli; Brandon Walts; Gareth Williams; Derek Wilson; Ken Youens-Clark; Marcela K. Monaco; Joshua C. Stein; Xuehong Wei; Doreen Ware; Daniel M. Bolser; Kevin L. Howe

Ensembl Genomes (http://www.ensemblgenomes.org) is an integrating resource for genome-scale data from non-vertebrate species. The project exploits and extends technologies for genome annotation, analysis and dissemination, developed in the context of the vertebrate-focused Ensembl project, and provides a complementary set of resources for non-vertebrate species through a consistent set of programmatic and interactive interfaces. These provide access to data including reference sequence, gene models, transcriptional data, polymorphisms and comparative analysis. This article provides an update to the previous publications about the resource, with a focus on recent developments. These include the addition of important new genomes (and related data sets) including crop plants, vectors of human disease and eukaryotic pathogens. In addition, the resource has scaled up its representation of bacterial genomes, and now includes the genomes of over 9000 bacteria. Specific extensions to the web and programmatic interfaces have been developed to support users in navigating these large data sets. Looking forward, analytic tools to allow targeted selection of data for visualization and download are likely to become increasingly important in future as the number of available genomes increases within all domains of life, and some of the challenges faced in representing bacterial data are likely to become commonplace for eukaryotes in future.


Nucleic Acids Research | 2010

Ensembl Genomes: Extending Ensembl across the taxonomic space

Paul J. Kersey; Daniel John Lawson; Ewan Birney; Paul S. Derwent; Matthias Haimel; Javier Herrero; Stephen Keenan; Arnaud Kerhornou; Gautier Koscielny; Andreas Kähäri; Rhoda Kinsella; Eugene Kulesha; Uma Maheswari; Karine Megy; Michael Nuhn; Glenn Proctor; Daniel M. Staines; Franck Valentin; Albert J. Vilella; Andy Yates

Ensembl Genomes (http://www.ensemblgenomes.org) is a new portal offering integrated access to genome-scale data from non-vertebrate species of scientific interest, developed using the Ensembl genome annotation and visualisation platform. Ensembl Genomes consists of five sub-portals (for bacteria, protists, fungi, plants and invertebrate metazoa) designed to complement the availability of vertebrate genomes in Ensembl. Many of the databases supporting the portal have been built in close collaboration with the scientific community, which we consider as essential for maintaining the accuracy and usefulness of the resource. A common set of user interfaces (which include a graphical genome browser, FTP, BLAST search, a query optimised data warehouse, programmatic access, and a Perl API) is provided for all domains. Data types incorporated include annotation of (protein and non-protein coding) genes, cross references to external resources, and high throughput experimental data (e.g. data from large scale studies of gene expression and polymorphism visualised in their genomic context). Additionally, extensive comparative analysis has been performed, both within defined clades and across the wider taxonomy, and sequence alignments and gene trees resulting from this can be accessed through the site.


Nucleic Acids Research | 2014

Gramene 2013: comparative plant genomics resources

Marcela K. Monaco; Joshua C. Stein; Sushma Naithani; Sharon Wei; Palitha Dharmawardhana; Sunita Kumari; Vindhya Amarasinghe; Ken Youens-Clark; James Thomason; Justin Preece; Shiran Pasternak; Andrew Olson; Yinping Jiao; Zhenyuan Lu; Daniel M. Bolser; Arnaud Kerhornou; Daniel M. Staines; Brandon Walts; Guanming Wu; Peter D'Eustachio; Robin Haw; David Croft; Paul J. Kersey; Lincoln Stein; Pankaj Jaiswal; Doreen Ware

Gramene (http://www.gramene.org) is a curated online resource for comparative functional genomics in crops and model plant species, currently hosting 27 fully and 10 partially sequenced reference genomes in its build number 38. Its strength derives from the application of a phylogenetic framework for genome comparison and the use of ontologies to integrate structural and functional annotation data. Whole-genome alignments complemented by phylogenetic gene family trees help infer syntenic and orthologous relationships. Genetic variation data, sequences and genome mappings available for 10 species, including Arabidopsis, rice and maize, help infer putative variant effects on genes and transcripts. The pathways section also hosts 10 species-specific metabolic pathways databases developed in-house or by our collaborators using Pathway Tools software, which facilitates searches for pathway, reaction and metabolite annotations, and allows analyses of user-defined expression datasets. Recently, we released a Plant Reactome portal featuring 133 curated rice pathways. This portal will be expanded for Arabidopsis, maize and other plant species. We continue to provide genetic and QTL maps and marker datasets developed by crop researchers. The project provides a unique community platform to support scientific research in plant genomics including studies in evolution, genetics, plant breeding, molecular biology, biochemistry and systems biology.


Nucleic Acids Research | 2012

Ensembl Genomes: an integrative resource for genome-scale data from non-vertebrate species

Paul J. Kersey; Daniel M. Staines; Daniel Lawson; Eugene Kulesha; Paul S. Derwent; Jay C. Humphrey; Daniel S. T. Hughes; Stephen Keenan; Arnaud Kerhornou; Gautier Koscielny; Nicholas Langridge; Mark D. McDowall; Karine Megy; Uma Maheswari; Michael Nuhn; Michael Paulini; Helder Pedro; Iliana Toneva; Derek Wilson; Andrew Yates; Ewan Birney

Ensembl Genomes (http://www.ensemblgenomes.org) is an integrative resource for genome-scale data from non-vertebrate species. The project exploits and extends technology (for genome annotation, analysis and dissemination) developed in the context of the (vertebrate-focused) Ensembl project and provides a complementary set of resources for non-vertebrate species through a consistent set of programmatic and interactive interfaces. These provide access to data including reference sequence, gene models, transcriptional data, polymorphisms and comparative analysis. Since its launch in 2009, Ensembl Genomes has undergone rapid expansion, with the goal of providing coverage of all major experimental organisms, and additionally including taxonomic reference points to provide the evolutionary context in which genes can be understood. Against the backdrop of a continuing increase in genome sequencing activities in all parts of the tree of life, we seek to work, wherever possible, with the communities actively generating and using data, and are participants in a growing range of collaborations involved in the annotation and analysis of genomes.


Nucleic Acids Research | 2015

PomBase 2015: updates to the fission yeast database

Mark D. McDowall; Midori A. Harris; Antonia Lock; Kim Rutherford; Daniel M. Staines; Jürg Bähler; Paul J. Kersey; Stephen G. Oliver; Valerie Wood

PomBase (http://www.pombase.org) is the model organism database for the fission yeast Schizosaccharomyces pombe. PomBase provides a central hub for the fission yeast community, supporting both exploratory and hypothesis-driven research. It provides users easy access to data ranging from the sequence level, to molecular and phenotypic annotations, through to the display of genome-wide high-throughput studies. Recent improvements to the site extend annotation specificity, improve usability and allow for monthly data updates. Both in-house curators and community researchers provide manually curated data to PomBase. The genome browser provides access to published high-throughput data sets and the genomes of three additional Schizosaccharomyces species (Schizosaccharomyces cryophilus, Schizosaccharomyces japonicus and Schizosaccharomyces octosporus).


Methods of Molecular Biology | 2016

Ensembl Plants: Integrating Tools for Visualizing, Mining, and Analyzing Plant Genomics Data.

Dan Bolser; Daniel M. Staines; Emily Pritchard; Paul J. Kersey

Ensembl Plants ( http://plants.ensembl.org ) is an integrative resource presenting genome-scale information for a growing number of sequenced plant species (currently 33). Data provided includes genome sequence, gene models, functional annotation, and polymorphic loci. Various additional information are provided for variation data, including population structure, individual genotypes, linkage, and phenotype data. In each release, comparative analyses are performed on whole genome and protein sequences, and genome alignments and gene trees are made available that show the implied evolutionary history of each gene family. Access to the data is provided through a genome browser incorporating many specialist interfaces for different data types, and through a variety of additional methods for programmatic access and data mining. These access routes are consistent with those offered through the Ensembl interface for the genomes of non-plant species, including those of plant pathogens, pests, and pollinators.Ensembl Plants is updated 4-5 times a year and is developed in collaboration with our international partners in the Gramene ( http://www.gramene.org ) and transPLANT projects ( http://www.transplantdb.org ).


Nucleic Acids Research | 2018

Ensembl Genomes 2018: an integrated omics infrastructure for non-vertebrate species.

Paul J. Kersey; James E. Allen; Alexis Allot; Matthieu Barba; Sanjay Boddu; Bruce J. Bolt; Denise R. Carvalho-Silva; Mikkel Christensen; Paul Davis; Christoph Grabmueller; Navin Kumar; Zicheng Liu; Thomas Maurel; Ben Moore; Mark D. McDowall; Uma Maheswari; Guy Naamati; Victoria Newman; Chuang Kee Ong; Michael Paulini; Helder Pedro; Emily Perry; Matthew Russell; Helen Sparrow; Electra Tapanari; Kieron Taylor; Alessandro Vullo; Gareth Williams; Amonida Zadissia; Andrew Olson

Abstract Ensembl Genomes (http://www.ensemblgenomes.org) is an integrating resource for genome-scale data from non-vertebrate species, complementing the resources for vertebrate genomics developed in the Ensembl project (http://www.ensembl.org). Together, the two resources provide a consistent set of programmatic and interactive interfaces to a rich range of data including genome sequence, gene models, transcript sequence, genetic variation, and comparative analysis. This paper provides an update to the previous publications about the resource, with a focus on recent developments and expansions. These include the incorporation of almost 20 000 additional genome sequences and over 35 000 tracks of RNA-Seq data, which have been aligned to genomic sequence and made available for visualization. Other advances since 2015 include the release of the database in Resource Description Framework (RDF) format, a large increase in community-derived curation, a new high-performance protein sequence search, additional cross-references, improved annotation of non-protein-coding genes, and the launch of pre-release and archival sites. Collectively, these changes are part of a continuing response to the increasing quantity of publicly-available genome-scale data, and the consequent need to archive, integrate, annotate and disseminate these using automated, scalable methods.

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Paul J. Kersey

European Bioinformatics Institute

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Mark D. McDowall

European Bioinformatics Institute

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Helder Pedro

European Bioinformatics Institute

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Michael Nuhn

European Bioinformatics Institute

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Michael Paulini

European Bioinformatics Institute

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Uma Maheswari

European Bioinformatics Institute

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Andreas Kähäri

European Bioinformatics Institute

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Brandon Walts

European Bioinformatics Institute

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Christoph Grabmueller

European Bioinformatics Institute

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