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1. Ensembl Genomes 2020—enabling non-vertebrate genomic research

Author

Bruno Contreras-Moreira, Laurent Gil, Uma Maheswari, Erin Haskell, Paul Flicek, Kim E. Hammond-Kosack, Stephen J. Trevanion, Matthieu Barba, Sushma Naithani, Matthew Russell, Mark D. McDowall, Nancy George, Andrew D. Yates, Emily Perry, Vasily Sitnik, Dan Bolser, Michael Paulini, Paul J. Kersey, Pankaj Jaiswal, Mikkel B. Christensen, Helder Pedro, Gareth Maslen, Lahcen Cambell, Sophie Helen Janacek, Daniel M. Staines, Gary Williams, Matthieu Muffato, Carla Cummins, Wasiu Akanni, Marc Rosello, James E. Allen, Irene Papatheodorou, Astrid Gall, Nick Langridge, Marc Chakiachvili, Joshua C. Stein, Mateus Patricio, Silvie Fexova, Nishadi De Silva, Sarah E. Hunt, Benjamin Moore, Martin Urban, Justin Preece, Marcela K. Tello-Ruiz, Guy Naamati, Andrew Olson, Parul Gupta, Thomas Maurel, Jorge Alvarez-Jarreta, Doreen Ware, Paul Davis, Manuel Carbajo, Alayne Cuzick, Kevin L. Howe, and Sharon Wei

Subjects
0106 biological sciences, Tree of life, Genomics, Context (language use), Computational biology, Biology, 01 natural sciences, Genome, User-Computer Interface, 03 medical and health sciences, Resource (project management), Reference Values, Ensembl Genomes, Databases, Genetic, Genetics, Database Issue, Animals, Ensembl, Caenorhabditis elegans, 030304 developmental biology, Internet, 0303 health sciences, Computational Biology, Genetic Variation, Molecular Sequence Annotation, Plants, Phenotype, Genome, Fungal, Algorithms, Genome, Bacterial, Genome, Plant, Software, 010606 plant biology & botany
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 context of the Ensembl project (http://www.ensembl.org). Together, the two resources provide a consistent set of interfaces to genomic data across the tree of life, including reference genome sequence, gene models, transcriptional data, genetic variation and comparative analysis. Data may be accessed via our website, online tools platform and programmatic interfaces, with updates made four times per year (in synchrony with Ensembl). Here, we provide an overview of Ensembl Genomes, with a focus on recent developments. These include the continued growth, more robust and reproducible sets of orthologues and paralogues, and enriched views of gene expression and gene function in plants. Finally, we report on our continued deeper integration with the Ensembl project, which forms a key part of our future strategy for dealing with the increasing quantity of available genome-scale data across the tree of life.

Published
2019

2. PomBase: a comprehensive online resource for fission yeast

Author

Paul J. Kersey, Midori A. Harris, Valerie Wood, Daniel M. Staines, Jürg Bähler, Martin Aslett, Mark D. McDowall, Antonia Lock, Brendan W. Vaughan, Stephen G. Oliver, Kim Rutherford, Wood, Valerie [0000-0001-6330-7526], Harris, Midori [0000-0003-4148-4606], Oliver, Stephen [0000-0001-6330-7526], and Apollo - University of Cambridge Repository

Subjects
Relational database, Biology, Bioinformatics, 03 medical and health sciences, Annotation, 0302 clinical medicine, Resource (project management), Databases, Genetic, Schizosaccharomyces, Genetics, Ensembl, Relevance (information retrieval), 030304 developmental biology, 0303 health sciences, Internet, Data curation, business.industry, Molecular Sequence Annotation, Articles, Genomics, Data science, Phenotype, The Internet, Genome, Fungal, business, 030217 neurology & neurosurgery
Abstract

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.

Published
2020
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3. Ensembl 2019

Author

Fiona Cunningham, Premanand Achuthan, Wasiu Akanni, James Allen, M Ridwan Amode, Irina M Armean, Ruth Bennett, Jyothish Bhai, Konstantinos Billis, Sanjay Boddu, Carla Cummins, Claire Davidson, Kamalkumar Jayantilal Dodiya, Astrid Gall, Carlos García Girón, Laurent Gil, Tiago Grego, Leanne Haggerty, Erin Haskell, Thibaut Hourlier, Osagie G Izuogu, Sophie H Janacek, Thomas Juettemann, Mike Kay, Matthew R Laird, Ilias Lavidas, Zhicheng Liu, Jane E Loveland, José C Marugán, Thomas Maurel, Aoife C McMahon, Benjamin Moore, Joannella Morales, Jonathan M Mudge, Michael Nuhn, Denye Ogeh, Anne Parker, Andrew Parton, Mateus Patricio, Ahamed Imran Abdul Salam, Bianca M Schmitt, Helen Schuilenburg, Dan Sheppard, Helen Sparrow, Eloise Stapleton, Marek Szuba, Kieron Taylor, Glen Threadgold, Anja Thormann, Alessandro Vullo, Brandon Walts, Andrea Winterbottom, Amonida Zadissa, Marc Chakiachvili, Adam Frankish, Sarah E Hunt, Myrto Kostadima, Nick Langridge, Fergal J Martin, Matthieu Muffato, Emily Perry, Magali Ruffier, Daniel M Staines, Stephen J Trevanion, Bronwen L Aken, Andrew D Yates, Daniel R Zerbino, and Paul Flicek

Subjects
0301 basic medicine, Genome, Computational Biology, Molecular Sequence Annotation, Genomics, 03 medical and health sciences, Mice, 030104 developmental biology, 0302 clinical medicine, ComputingMethodologies_PATTERNRECOGNITION, Databases, Genetic, Vertebrates, Genetics, Database Issue, Animals, Humans, 030217 neurology & neurosurgery, Software
Abstract

The Ensembl project (https://www.ensembl.org) makes key genomic data sets available to the entire scientific community without restrictions. Ensembl seeks to be a fundamental resource driving scientific progress by creating, maintaining and updating reference genome annotation and comparative genomics resources. This year we describe our new and expanded gene, variant and comparative annotation capabilities, which led to a 50% increase in the number of vertebrate genomes we support. We have also doubled the number of available human variants and added regulatory regions for many mouse cell types and developmental stages. Our data sets and tools are available via the Ensembl website as well as a through a RESTful webservice, Perl application programming interface and as data files for download.

Published
2018

4. PhytoPath: an integrative resource for plant pathogen genomics

Author

Paul J. Kersey, Daniel M. Staines, Alayne Cuzick, Martin Urban, Mark D. McDowall, Helder Pedro, Eugene Kulesha, Uma Maheswari, Alistair G. Irvine, and Kim E. Hammond-Kosack

Subjects
0301 basic medicine, Genes, Fungal, Genomics, Sequence alignment, Context (language use), Computational biology, Genome browser, Biology, Genome, 03 medical and health sciences, Annotation, Databases, Genetic, Genetics, Ensembl, Database Issue, Gene, Plant Diseases, 2. Zero hunger, fungi, food and beverages, 030104 developmental biology, Phenotype, Oomycetes, Genes, Bacterial, Host-Pathogen Interactions, Genome, Fungal, Sequence Alignment, Genome, Bacterial
Abstract

PhytoPath (www.phytopathdb.org) is a resource for genomic and phenotypic data from plant pathogen species, that integrates phenotypic data for genes from PHI-base, an expertly curated catalog of genes with experimentally verified pathogenicity, with the Ensembl tools for data visualization and analysis. The resource is focused on fungi, protists (oomycetes) and bacterial plant pathogens that have genomes that have been sequenced and annotated. Genes with associated PHI-base data can be easily identified across all plant pathogen species using a BioMart-based query tool and visualized in their genomic context on the Ensembl genome browser. The PhytoPath resource contains data for 135 genomic sequences from 87 plant pathogen species, and 1364 genes curated for their role in pathogenicity and as targets for chemical intervention. Support for community annotation of gene models is provided using the WebApollo online gene editor, and we are working with interested communities to improve reference annotation for selected species.

Published
2015

5. Ensembl 2017

Author

Bronwen L. Aken, Premanand Achuthan, Wasiu Akanni, M. Ridwan Amode, Friederike Bernsdorff, Jyothish Bhai, Konstantinos Billis, Denise Carvalho-Silva, Carla Cummins, Peter Clapham, Laurent Gil, Carlos García Girón, Leo Gordon, Thibaut Hourlier, Sarah E. Hunt, Sophie H. Janacek, Thomas Juettemann, Stephen Keenan, Matthew R. Laird, Ilias Lavidas, Thomas Maurel, William McLaren, Benjamin Moore, Daniel N. Murphy, Rishi Nag, Victoria Newman, Michael Nuhn, Chuang Kee Ong, Anne Parker, Mateus Patricio, Harpreet Singh Riat, Daniel Sheppard, Helen Sparrow, Kieron Taylor, Anja Thormann, Alessandro Vullo, Brandon Walts, Steven P. Wilder, Amonida Zadissa, Myrto Kostadima, Fergal J. Martin, Matthieu Muffato, Emily Perry, Magali Ruffier, Daniel M. Staines, Stephen J. Trevanion, Fiona Cunningham, Andrew Yates, Daniel R. Zerbino, and Paul Flicek

Subjects
0301 basic medicine, 030102 biochemistry & molecular biology, Genome, Human, Computational Biology, Genetic Variation, Molecular Sequence Annotation, Genomics, Web Browser, Evolution, Molecular, Search Engine, 03 medical and health sciences, 030104 developmental biology, ComputingMethodologies_PATTERNRECOGNITION, Gene Expression Regulation, Species Specificity, Databases, Genetic, Vertebrates, Genetics, Database Issue, Animals, Data Mining, Humans, Software
Abstract

Ensembl (www.ensembl.org) is a database and genome browser for enabling research on vertebrate genomes. We import, analyse, curate and integrate a diverse collection of large-scale reference data to create a more comprehensive view of genome biology than would be possible from any individual dataset. Our extensive data resources include evidence-based gene and regulatory region annotation, genome variation and gene trees. An accompanying suite of tools, infrastructure and programmatic access methods ensure uniform data analysis and distribution for all supported species. Together, these provide a comprehensive solution for large-scale and targeted genomics applications alike. Among many other developments over the past year, we have improved our resources for gene regulation and comparative genomics, and added CRISPR/Cas9 target sites. We released new browser functionality and tools, including improved filtering and prioritization of genome variation, Manhattan plot visualization for linkage disequilibrium and eQTL data, and an ontology search for phenotypes, traits and disease. We have also enhanced data discovery and access with a track hub registry and a selection of new REST end points. All Ensembl data are freely released to the scientific community and our source code is available via the open source Apache 2.0 license.

Published
2017
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6. Ensembl core software resources : storage and programmatic access for DNA sequence and genome annotation

Author

Glenn Proctor, Alessandro Vullo, Daniel R. Zerbino, Daniel M. Staines, Stephen Keenan, Andreas Kähäri, Andrew D. Yates, Kieron Taylor, Magali Ruffier, Steve Searle, Matthew R. Laird, Ian Longden, Paul Flicek, and Monika Komorowska

Subjects
0301 basic medicine, Computer science, Genome, General Biochemistry, Genetics and Molecular Biology, DNA sequencing, World Wide Web, Transcriptome, User-Computer Interface, 03 medical and health sciences, Software, 0302 clinical medicine, RefSeq, Humans, Ensembl, 030304 developmental biology, 0303 health sciences, Bioinformatics (Computational Biology), Information retrieval, Genome, Human, business.industry, Molecular Sequence Annotation, Sequence Analysis, DNA, Genome project, Core (game theory), 030104 developmental biology, ComputingMethodologies_PATTERNRECOGNITION, Database Update, Bioinformatik (beräkningsbiologi), Human genome, UniProt, Databases, Nucleic Acid, General Agricultural and Biological Sciences, business, 030217 neurology & neurosurgery, Information Systems
Abstract

The Ensembl software resources are a stable infrastructure to store, access and manipulate genome assemblies and their functional annotations. The Ensembl “Core” database and Application Programming Interface (API) was our first major piece of software infrastructure and remains at the centre of all of our genome resources. Since its initial design more than fifteen years ago, the number of publicly available genomic, transcriptomic and proteomic datasets has grown enormously, accelerated by continuous advances in DNA sequencing technology. Initially intended to provide annotation for the reference human genome, we have extended our framework to support the genomes of all species as well as richer assembly models. Cross-referenced links to other informatics resources facilitate searching our database with a variety of popular identifiers such as UniProt and RefSeq. Our comprehensive and robust framework storing a large diversity of genome annotations in one location serves as a platform for other groups to generate and maintain their own tailored annotation. Our databases and APIs are publicly available and all of our source code is released with a permissive Apache v2.0 licence at http://github.com/Ensembl.

Published
2017

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

Author

Dan M, Bolser, Daniel M, Staines, Emily, Perry, and Paul J, Kersey

Subjects
Crops, Agricultural, Chromosome Mapping, Computational Biology, Genetic Variation, Molecular Sequence Annotation, Genomics, Plants, Web Browser, User-Computer Interface, Phenotype, Databases, Genetic, Data Mining, Genome, Plant, Software
Abstract

Ensembl Plants ( http://plants.ensembl.org ) is an integrative resource presenting genome-scale information for 39 sequenced plant species. Available data includes genome sequence, gene models, functional annotation, and polymorphic loci; for the latter, additional information including population structure, individual genotypes, linkage, and phenotype data is available for some species. Comparative data is also available, including genomic alignments and "gene trees," which show the inferred evolutionary history of each gene family represented in the resource. Access to the data is provided through a genome browser, which incorporates many specialist interfaces for different data types, through a variety of programmatic interfaces, and via a specialist data mining tool supporting rapid filtering and retrieval of bulk data. Genomic data from many non-plant species, including those of plant pathogens, pests, and pollinators, is also available via the same interfaces through other divisions of Ensembl.Ensembl Plants is updated 4-6 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.eu ).

Published
2016

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

Author

Paul J. Kersey, Daniel M. Staines, Emily Perry, and Dan Bolser

Subjects
0301 basic medicine, Comparative genomics, Whole genome sequencing, Computer science, food and beverages, Genomics, Genome browser, Computational biology, Bioinformatics, Transcriptome, 03 medical and health sciences, 030104 developmental biology, Genetic variation, Ensembl, Gene family, Polymorphic locus, Gene, Functional genomics
Abstract

Ensembl Plants ( http://plants.ensembl.org ) is an integrative resource presenting genome-scale information for 39 sequenced plant species. Available data includes genome sequence, gene models, functional annotation, and polymorphic loci; for the latter, additional information including population structure, individual genotypes, linkage, and phenotype data is available for some species. Comparative data is also available, including genomic alignments and "gene trees," which show the inferred evolutionary history of each gene family represented in the resource. Access to the data is provided through a genome browser, which incorporates many specialist interfaces for different data types, through a variety of programmatic interfaces, and via a specialist data mining tool supporting rapid filtering and retrieval of bulk data. Genomic data from many non-plant species, including those of plant pathogens, pests, and pollinators, is also available via the same interfaces through other divisions of Ensembl.Ensembl Plants is updated 4-6 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.eu ).

Published
2016

9. Gramene 2013: comparative plant genomics resources

Author

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

Subjects
Crops, Agricultural, Systems biology, Genomics, Computational biology, Genome, Arabidopsis, Databases, Genetic, Genetics, Synteny, 2. Zero hunger, Internet, Phylogenetic tree, biology, food and beverages, Genetic Variation, Molecular Sequence Annotation, 15. Life on land, Plants, biology.organism_classification, VII. Plant databases, Functional genomics, Genome, Plant, Metabolic Networks and Pathways
Abstract

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.

Published
2013

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

Author

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

Subjects
0106 biological sciences, Genomics, Context (language use), Computational biology, Bacterial genome size, Biology, 01 natural sciences, Genome, 03 medical and health sciences, Ensembl Genomes, Databases, Genetic, Genetics, Animals, Ensembl, 030304 developmental biology, Internet, 0303 health sciences, Molecular Sequence Annotation, Genome project, ComputingMethodologies_PATTERNRECOGNITION, Genome, Fungal, Edible Grain, Genome, Bacterial, Genome, Plant, Software, IV. Viruses, bacteria, protozoa and fungi, 010606 plant biology & botany, Reference genome
Abstract

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.

Published
2013

11. Ensembl Genomes 2016: more genomes, more complexity

Author

Paul J. Kersey, Daniel M. Staines, Jay C. Humphrey, Bert Overduin, Julia Khobova, Doreen Ware, Paul Davis, Gareth Maslen, Emily Perry, Kevin L. Howe, Electra Tapanari, Bruce J. Bolt, Sharon Wei, Michael Nuhn, Joshua C. Stein, Ernesto Lowy, Naveen K. Aranganathan, Irina M. Armean, Brandon Walts, Mikkel B. Christensen, Giulietta Spudich, James E. Allen, Lee J. Falin, Marcela K. Tello-Ruiz, Gareth Williams, Christoph Grabmueller, Denise Carvalho-Silva, Mark D. McDowall, Daniel Lawson, Nicholas Langridge, Chuang Kee Ong, Uma Maheswari, Helder Pedro, Dan Bolser, Arnaud Kerhornou, Michael Paulini, Sanjay Boddu, and Eugene Kulesha

Subjects
0301 basic medicine, Genomics, Context (language use), Bacterial genome size, Computational biology, Biology, Genome, Polyploidy, 03 medical and health sciences, Ensembl Genomes, Databases, Genetic, Genetics, Ensembl, Animals, Database Issue, Whole genome sequencing, Eukaryota, Genetic Variation, Diploidy, Invertebrates, 030104 developmental biology, Genome, Fungal, Sequence Alignment, Genome, Bacterial, Genome, Plant, Reference genome
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 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.

Published
2016

12. The Gene Ontology: enhancements for 2011

Author

P D'Eustachio, Benjamin C. Hitz, Julie Park, Paul Browne, Douglas G. Howe, Cynthia J. Krieger, Kalpana Karra, Stan Laulederkind, Karen R. Christie, Susan Tweedie, Eurie L. Hong, Lydie Bougueleret, Michele Magrane, Cathy R. Gresham, Rolf Apweiler, Lisa Matthews, Dong Li, Philippa J. Talmud, Ioannis Xenarios, J. M. Cherry, Tanya Z. Berardini, Deborah A. Siegele, Rama Balakrishnan, D. Sitnikov, A. Auchinchloss, Selina S. Dwight, Tony Sawford, Paul J. Kersey, Ruth C. Lovering, Ruth Y. Eberhardt, Ursula Hinz, Lakshmi Pillai, Sylvain Poux, Edith D. Wong, Klemens Pichler, Kati Laiho, Malcolm J. Gardner, Stephen G. Oliver, Lionel Breuza, Kara Dolinski, P Lemercier, Kristian B. Axelsen, Midori A. Harris, Adrienne E. Zweifel, H. Drabkin, Guillaume Keller, Marek S. Skrzypek, Daniel M. Staines, Fiona M. McCarthy, Nicholas H. Brown, Mark D. McDowall, Antonia Lock, Mary Shimoyama, Maria C. Costanzo, Teresia Buza, S. Jimenez, Rex L. Chisholm, Paul W. Sternberg, Hui Wang, Nadine Gruaz-Gumowski, Chantal Hulo, Rebecca E. Foulger, Melinda R. Dwinell, Judith A. Blake, Marcus C. Chibucos, B. K. McIntosh, C. D. Amundsen, Jane Lomax, L Famiglietti, Tom Hayman, Michael Tognolli, Eva Huala, James C. Hu, Patrick Masson, Maria Jesus Martin, Benoit Bely, Shuai Weng, Heather C. Wick, E. Dimmer, L. Ni, Catherine Rivoire, Christopher J. Mungall, H. Sehra, P. Duek-Roggli, Maria Victoria Schneider, Dianna G. Fisk, Michael S. Livstone, Ivo Pedruzzi, Shyamala Sundaram, Donna K. Slonim, Isabelle Cusin, Stuart R. Miyasato, Timothy F. Lowry, Varsha K. Khodiyar, Seth Carbon, Elisabeth Coudert, Jürg Bähler, Juancarlos Chan, Evelyn Camon, Daniel P. Renfro, Anne Estreicher, M. C. Blatter, Robert S. Nash, P Gaudet, Sven Heinicke, K. Van Auken, Stacia R. Engel, Alan Bridge, Ralf Stephan, Mary E. Dolan, Shane C. Burgess, Petra Fey, Shur-Jen Wang, Damien Lieberherr, Duncan Legge, P. Porras Millán, Andre Stutz, Yasmin Alam-Faruque, Gail Binkley, Bernd Roechert, S. Branconi-Quintaje, Ghislaine Argoud-Puy, S. Basu, Kim Rutherford, M. Moinat, Monte Westerfield, Arnaud Gos, Eleanor J Stanley, Valerie Wood, Ranjana Kishore, Diego Poggioli, S. Ferro-Rojas, Victoria Petri, Florence Jungo, Suzanna E. Lewis, Emmanuel Boutet, Warren A. Kibbe, M Feuermann, Claire O'Donovan, W. M. Chan, J. James, David P. Hill, Rachael P. Huntley, M. Gwinn Giglio, Paul Thomas, Jodi E. Hirschman, Paola Roncaglia, Gene Ontology Consortium, Blake, JA., Dolan, M., Drabkin, H., Hill, DP., Ni, L., Sitnikov, D., Burgess, S., Buza, T., Gresham, C., McCarthy, F., Pillai, L., Wang, H., Carbon, S., Lewis, SE., Mungall, CJ., Gaudet, P., Chisholm, RL., Fey, P., Kibbe, WA., Basu, S., Siegele, DA., McIntosh, BK., Renfro, DP., Zweifel, AE., Hu, JC., Brown, NH., Tweedie, S., Alam-Faruque, Y., Apweiler, R., Auchinchloss, A., Axelsen, K., Argoud-Puy, G., Bely, B., Blatter, M-., Bougueleret, L., Boutet, E., Branconi, S., Breuza, L., Bridge, A., Browne, P., Chan, WM., Coudert, E., Cusin, I., Dimmer, E., Duek-Roggli, P., Eberhardt, R., Estreicher, A., Famiglietti, L., Ferro-Rojas, S., Feuermann, M., Gardner, M., Gos, A., Gruaz-Gumowski, N., Hinz, U., Hulo, C., Huntley, R., James, J., Jimenez, S., Jungo, F., Keller, G., Laiho, K., Legge, D., Lemercier, P., Lieberherr, D., Magrane, M., Martin, MJ., Masson, P., Moinat, M., O'Donovan, C., Pedruzzi, I., Pichler, K., Poggioli, D., Porras Millán, P., Poux, S., Rivoire, C., Roechert, B., Sawford, T., Schneider, M., Sehra, H., Stanley, E., Stutz, A., Sundaram, S., Tognolli, M., Xenarios, I., Foulger, R., Lomax, J., Roncaglia, P., Camon, E., Khodiyar, VK., Lovering, RC., Talmud, PJ., Chibucos, M., Gwinn Giglio, M., Dolinski, K., Heinicke, S., Livstone, MS., Stephan, R., Harris, MA., Oliver, SG., Rutherford, K., Wood, V., Bahler, J., Lock, A., Kersey, PJ., McDowall, MD., Staines, DM., Dwinell, M., Shimoyama, M., Laulederkind, S., Hayman, T., Wang, S-., Petri, V., Lowry, T., D'Eustachio, P., Matthews, L., Amundsen, CD., Balakrishnan, R., Binkley, G., Cherry, JM., Christie, KR., Costanzo, MC., Dwight, SS., Engel, SR., Fisk, DG., Hirschman, JE., Hitz, BC., Hong, EL., Karra, K., Krieger, CJ., Miyasato, SR., Nash, RS., Park, J., Skrzypek, MS., Weng, S., Wong, ED., Berardini, TZ., Li, D., Huala, E., Slonim, D., Wick, H., Thomas, P., Chan, J., Kishore, R., Sternberg, P., Van Auken, K., Howe, D., and Westerfield, M.

Subjects
Quality Control, 0303 health sciences, media_common.quotation_subject, Databases, Genetic, Molecular Sequence Annotation/standards, Vocabulary, Controlled, Inference, Molecular Sequence Annotation, Articles, Biology, Ontology (information science), World Wide Web, Open Biomedical Ontologies, 03 medical and health sciences, Annotation, 0302 clinical medicine, Resource (project management), Controlled vocabulary, Genetics, Social media, Function (engineering), 030217 neurology & neurosurgery, 030304 developmental biology, media_common
Abstract

The Gene Ontology (GO) (http://www.geneontology.org) is a community bioinformatics resource that represents gene product function through the use of structured, controlled vocabularies. The number of GO annotations of gene products has increased due to curation efforts among GO Consortium (GOC) groups, including focused literature-based annotation and ortholog-based functional inference. The GO ontologies continue to expand and improve as a result of targeted ontology development, including the introduction of computable logical definitions and development of new tools for the streamlined addition of terms to the ontology. The GOC continues to support its user community through the use of e-mail lists, social media and web-based resources.

Published
2011

13. Ensembl Genomes: Extending Ensembl across the taxonomic space

Author

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

Subjects
0106 biological sciences, Gene Expression, Information Storage and Retrieval, Genome browser, Computational biology, Biology, Vertebrate and Genome Annotation Project, 01 natural sciences, Genome, 03 medical and health sciences, Annotation, Ensembl Genomes, Databases, Genetic, Genetics, Animals, Ensembl, 030304 developmental biology, computer.programming_language, Internet, 0303 health sciences, Polymorphism, Genetic, Computational Biology, Articles, Genome project, Invertebrates, Protein Structure, Tertiary, ComputingMethodologies_PATTERNRECOGNITION, Genome, Fungal, Perl, Databases, Nucleic Acid, computer, Genome, Bacterial, Genome, Plant, Software, 010606 plant biology & botany
Abstract

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.

Published
2009

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

Author

Dan, Bolser, Daniel M, Staines, Emily, Pritchard, and Paul, Kersey

Subjects
Databases, Genetic, Computational Biology, Data Mining, Genomics, Plants, Web Browser, Genome, Plant
Abstract

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 ).

Published
2015

15. PomBase 2015: updates to the fission yeast database

Author

Daniel M. Staines, Stephen G. Oliver, Valerie Wood, Jürg Bähler, Midori A. Harris, Mark D. McDowall, Kim Rutherford, Antonia Lock, Paul J. Kersey, Harris, Midori [0000-0003-4148-4606], Oliver, Stephen [0000-0001-6330-7526], Wood, Valerie [0000-0001-6330-7526], and Apollo - University of Cambridge Repository

Subjects
Genetics, Internet, biology, Genes, Fungal, Gene Expression, High-Throughput Nucleotide Sequencing, Genomics, Molecular Sequence Annotation, Genome browser, Computational biology, biology.organism_classification, Genome, 3. Good health, Annotation, Data access, ComputingMethodologies_PATTERNRECOGNITION, Gene Ontology, Schizosaccharomyces pombe, Databases, Genetic, Schizosaccharomyces, Database Issue
Abstract

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).

Published
2015

16. The BioMart community portal: an innovative alternative to large, centralized data repositories

Author

Byung Woo Han, Jose Manuel Garcia-Manteiga, Alejandro Maass, Jayson Harshbarger, Daniel M. Staines, Zhengyan Kan, Davide Rambaldi, Dong Jin Han, Richard Baldock, Ji Hyun Lee, Merideth Bonierbale, Hadi Quesneville, Anthony Esposito, Thomas Letellier, Jun Wang, Steven Rosanoff, Céline Noirot, Richard D. Hayes, Sarah W. Burge, Anthony J. Brookes, Gabriele Bucci, Giulia Barbiera, Elia Stupka, Olivier Arnaiz, Thomas Maurel, Shen Hu, Olivier Sallou, Emanuela Gadaleta, Jérôme Mariette, Rosalind J. Cutts, Joseph W. Carlson, Damian Smedley, Robert C. Free, James E. Allen, Simon A. Forbes, Kevin R. Stone, Jie Luo, Andrew Blake, Chu Jun Liu, Takatomo Fujisawa, Jon W. Teague, Cristian Perez-Llamas, Rebecca Shepherd, Julio Fernandez-Banet, Raul Cordova, David Goodstein, Shi Jian Zhang, Ken Youens-Clark, Cédric Cabau, José Afonso Guerra-Assunção, Iwan Buetti, Stefania Merella, Delphine Steinbach, Linda Sperling, Robert K. Hastings, Abu Z. Dayem Ullah, Claude Chelala, Erik Dassi, Eduardo Eyras, Sunghoon Kim, Kristian Gray, Dejan Lazarevic, Luca Pandini, Azza M. Mohamed, Doreen Ware, William Spooner, Alex Di Genova, Daniel Lawson, Alessandro Quattrone, Davide Cittaro, Heather Estrella, Rhoda Kinsella, Chuan-Yun Li, Christophe Klopp, Aminah Keliet, Michela Riba, Zhi-Liang Hu, Hideya Kawaji, Arnaud Kerhornou, James M. Reecy, Tim Beck, Charalambos Chrysostomou, François Moreews, Nelson Ndegwa, Arek Kasprzyk, Michael Primig, Claire Hoede, Ibounyamine Nabihoudine, Amonida Zadissa, Paolo Provero, Reinhard Simon, Todd W. Harris, Bernard Haggarty, Lucie N. Hutchins, Marie Wong-Erasmus, Philippe Bardou, Elisa Salas, Lei Kong, Anis Djari, Syed Haider, Steffen Durinck, Mohammad Awedh, Pietro Liò, Amna A. Saddiq, Olivier Collin, European Bioinformatics Institute [Hinxton] (EMBL-EBI), EMBL Heidelberg, Computer Laboratory [Cambridge], University of Cambridge [UK] (CAM), Genentech, Inc., Genentech, Inc. [San Francisco], San Raffaele Scientific Institute, Vita-Salute San Raffaele University and Center for Translational Genomics and Bioinformatics, Genetics, Biology and Biochemistry, Molecular Biotechnology Centre, Centre de génétique moléculaire (CGM), Université Paris-Sud - Paris 11 (UP11)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Centre National de la Recherche Scientifique (CNRS), King Abdulaziz University, MRC Human Genetics Unit, University of Edinburgh-Western General Hospital, Laboratoire de Génétique Cellulaire (LGC), Ecole Nationale Vétérinaire de Toulouse (ENVT), Institut National Polytechnique (Toulouse) (Toulouse INP), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Institut National Polytechnique (Toulouse) (Toulouse INP), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Institut National de la Recherche Agronomique (INRA), Department of Genetics [Leicester], University of Leicester, Medical Research Council Harwell (Mammalian Genetics Unit and Mary Lyon Centre), Medical Research Counc, International Potato Center, Department of Energy / Joint Genome Institute (DOE), Los Alamos National Laboratory (LANL), Centre for Molecular Oncology and Imaging, Centre for Molecular Oncology and Imaging, Barts Cancer Institute, Plateforme bioinformatique GenOuest [Rennes], Inria Rennes – Bretagne Atlantique, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-Plateforme Génomique Santé Biogenouest®-Université de Rennes 1 (UR1), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-Institut de Recherche en Informatique et Systèmes Aléatoires (IRISA), Institut National des Sciences Appliquées - Rennes (INSA Rennes), Institut National des Sciences Appliquées (INSA)-Université de Rennes (UNIV-RENNES)-Institut National des Sciences Appliquées (INSA)-Université de Rennes (UNIV-RENNES)-Université de Bretagne Sud (UBS)-Centre National de la Recherche Scientifique (CNRS)-École normale supérieure - Rennes (ENS Rennes)-Institut National de Recherche en Informatique et en Automatique (Inria)-Télécom Bretagne-Université de Rennes 1 (UR1), Université de Rennes (UNIV-RENNES)-CentraleSupélec-Institut National des Sciences Appliquées - Rennes (INSA Rennes), Institut National des Sciences Appliquées (INSA)-Université de Rennes (UNIV-RENNES)-Institut National des Sciences Appliquées (INSA)-Université de Bretagne Sud (UBS)-Centre National de la Recherche Scientifique (CNRS)-École normale supérieure - Rennes (ENS Rennes)-Télécom Bretagne-CentraleSupélec, University of Trento [Trento], University of Chile [Santiago], Unité de Biométrie et Intelligence Artificielle (UBIA), Institut National de la Recherche Agronomique (INRA), Pfizer Oncology, Institució Catalana de Recerca i Estudis Avançats (ICREA), Cancer Genome Project, The Wellcome Trust Sanger Institute [Cambridge], Kasuza DNA Research Institute, Seoul National University [Seoul] (SNU), Cold Spring Harbor Laboratory (CSHL), RIKEN - Institute of Physical and Chemical Research [Japon] (RIKEN), School of Dentistry and Dental Research Institute [UCLA], University of California [Los Angeles] (UCLA), University of California-University of California, Department of Animal Science and Center for Integrated Animal Genomics, Iowa State University (ISU), Mouse Genomic Informatics Group (MGI), The Jackson Laboratory, Unité de Recherche Génomique Info (URGI), Center for Bioinformatics [Pekin], Peking University [Beijing], Division of Industrial Ecology (KTH), Royal Institute of Technology [Stockholm] (KTH ), Institute of Molecular Medicine, Universidad de Santiago de Chile [Santiago] (USACH), Centro de Regulación Génica (CRG), Pontificia Universidad Católica de Chile (UC)-Universidad Andrés Bello [Santiago] (UNAB)-Universidad de Santiago de Chile [Santiago] (USACH), Centre de Modélisation Mathématique / Centro de Modelamiento Matemático (CMM), Centre National de la Recherche Scientifique (CNRS), Unité Mathématiques et Informatique Appliquées de Toulouse (MIAT), Physiologie, Environnement et Génétique pour l'Animal et les Systèmes d'Elevage [Rennes] (PEGASE), AGROCAMPUS OUEST-Institut National de la Recherche Agronomique (INRA), Unité de Mathématiques et Informatique Appliquées de Toulouse (MIAT INRA), Mathématiques et Informatique Appliquées Toulouse, Universitat Pompeu Fabra [Barcelona], Institut de recherche en santé, environnement et travail (Irset), Université d'Angers (UA)-Université de Rennes 1 (UR1), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-École des Hautes Études en Santé Publique [EHESP] (EHESP)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Structure Fédérative de Recherche en Biologie et Santé de Rennes ( Biosit : Biologie - Santé - Innovation Technologique ), Department of Animal Science, Eagle Genomics Ltd, Eagle Genomics, State Key Laboratory of Lithospheric Evolution (SKL), Institute of Geology and Geophysics [Beijing] (IGG), Chinese Academy of Sciences [Beijing] (CAS)-Chinese Academy of Sciences [Beijing] (CAS), University of the Chinese Academy of Sciences, Ontario Institute for Cancer Research [Canada] (OICR), Ontario Institute for Cancer Research, Institut National de la Recherche Agronomique (INRA)-Ecole Nationale Vétérinaire de Toulouse (ENVT), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées, International Potato Center [Lima] (CIP), Consultative Group on International Agricultural Research [CGIAR] (CGIAR), GESTION DES DONNÉES ET DE LA CONNAISSANCE (IRISA-D7), Institut de Recherche en Informatique et Systèmes Aléatoires (IRISA), Université de Rennes 1 (UR1), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), Institut National des Sciences Appliquées (INSA)-Université de Rennes (UNIV-RENNES)-Institut National des Sciences Appliquées (INSA)-Université de Bretagne Sud (UBS)-École normale supérieure - Rennes (ENS Rennes)-Institut National de Recherche en Informatique et en Automatique (Inria)-Télécom Bretagne-CentraleSupélec-Centre National de la Recherche Scientifique (CNRS)-Université de Rennes 1 (UR1), Institut National des Sciences Appliquées (INSA)-Université de Rennes (UNIV-RENNES)-Institut National des Sciences Appliquées (INSA)-Université de Bretagne Sud (UBS)-École normale supérieure - Rennes (ENS Rennes)-Institut National de Recherche en Informatique et en Automatique (Inria)-Télécom Bretagne-CentraleSupélec-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche en Informatique et Systèmes Aléatoires (IRISA), Institut National des Sciences Appliquées (INSA)-Université de Rennes (UNIV-RENNES)-Institut National des Sciences Appliquées (INSA)-Université de Bretagne Sud (UBS)-École normale supérieure - Rennes (ENS Rennes)-Institut National de Recherche en Informatique et en Automatique (Inria)-Télécom Bretagne-CentraleSupélec-Centre National de la Recherche Scientifique (CNRS)-Plateforme Génomique Santé Biogenouest®-Inria Rennes – Bretagne Atlantique, Institut National de Recherche en Informatique et en Automatique (Inria), Universidad de Chile = University of Chile [Santiago] (UCHILE), The Jackson Laboratory [Bar Harbor] (JAX), Center for Bioinformatics [Peking], Pontificia Universidad Católica de Chile (UC)-Universidad Andrés Bello [Santiago] (UNAB), Institut National de la Recherche Agronomique (INRA)-AGROCAMPUS OUEST, Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro), Universitat Pompeu Fabra [Barcelona] (UPF), Structure Fédérative de Recherche en Biologie et Santé de Rennes ( Biosit : Biologie - Santé - Innovation Technologique )-Institut National de la Santé et de la Recherche Médicale (INSERM)-École des Hautes Études en Santé Publique [EHESP] (EHESP)-Université de Rennes 1 (UR1), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-Université d'Angers (UA), Université de Toulouse (UT)-Université de Toulouse (UT)-Institut National Polytechnique (Toulouse) (Toulouse INP), Université de Toulouse (UT)-Université de Toulouse (UT), Université de Rennes (UR)-Plateforme Génomique Santé Biogenouest®-Inria Rennes – Bretagne Atlantique, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-GESTION DES DONNÉES ET DE LA CONNAISSANCE (IRISA-D7), Université de Rennes (UR)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Université de Bretagne Sud (UBS)-École normale supérieure - Rennes (ENS Rennes)-Institut National de Recherche en Informatique et en Automatique (Inria)-Télécom Bretagne-CentraleSupélec-Centre National de la Recherche Scientifique (CNRS)-Université de Rennes (UR)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Université de Bretagne Sud (UBS)-École normale supérieure - Rennes (ENS Rennes)-Institut National de Recherche en Informatique et en Automatique (Inria)-Télécom Bretagne-CentraleSupélec-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche en Informatique et Systèmes Aléatoires (IRISA), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Université de Bretagne Sud (UBS)-École normale supérieure - Rennes (ENS Rennes)-Institut National de Recherche en Informatique et en Automatique (Inria)-Télécom Bretagne-CentraleSupélec-Centre National de la Recherche Scientifique (CNRS)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Université de Bretagne Sud (UBS)-École normale supérieure - Rennes (ENS Rennes)-Télécom Bretagne-CentraleSupélec-Centre National de la Recherche Scientifique (CNRS), Unité de Biométrie et Intelligence Artificielle (ancêtre de MIAT) (UBIA), University of California (UC)-University of California (UC), Université d'Angers (UA)-Université de Rennes (UR)-École des Hautes Études en Santé Publique [EHESP] (EHESP)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Structure Fédérative de Recherche en Biologie et Santé de Rennes ( Biosit : Biologie - Santé - Innovation Technologique ), Jonchère, Laurent, CentraleSupélec-Télécom Bretagne-Université de Rennes 1 (UR1), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-Institut National de Recherche en Informatique et en Automatique (Inria)-École normale supérieure - Rennes (ENS Rennes)-Université de Bretagne Sud (UBS)-Centre National de la Recherche Scientifique (CNRS)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), Institut National des Sciences Appliquées (INSA)-Université de Rennes (UNIV-RENNES)-Institut National des Sciences Appliquées (INSA)-CentraleSupélec-Télécom Bretagne-Université de Rennes 1 (UR1), Institut National des Sciences Appliquées (INSA)-Université de Rennes (UNIV-RENNES)-Institut National des Sciences Appliquées (INSA)-Institut de Recherche en Informatique et Systèmes Aléatoires (IRISA), Institut National des Sciences Appliquées (INSA)-Université de Rennes (UNIV-RENNES)-Institut National des Sciences Appliquées (INSA)-Plateforme Génomique Santé Biogenouest®-Inria Rennes – Bretagne Atlantique, Lio, Pietro [0000-0002-0540-5053], and Apollo - University of Cambridge Repository

Subjects
Proteomics, Interface (Java), Data management, [SDV]Life Sciences [q-bio], génomique fonctionnelle, Biology, Ontology (information science), computer.software_genre, World Wide Web, Genomics, Humans, Internet, Neoplasms, Database Management Systems, Genetics, cancer, Web Server issue, protéomique, ontologie, ComputingMilieux_MISCELLANEOUS, base de données, business.industry, Toolbox, [SDV] Life Sciences [q-bio], espèce modèle, Scalability, The Internet, Web service, business, Host (network), computer
Abstract

International audience; The BioMart Community Portal (www.biomart.org) is a community-driven effort to provide a unified interface to biomedical databases that are distributed worldwide. The portal provides access to numerous database projects supported by 30 scientific organizations. It includes over 800 different biological datasets spanning genomics, proteomics, model organisms, cancer data, ontology information and more. All resources available through the portal are independently administered and funded by their host organizations. The BioMart data federation technology provides a unified interface to all the available data. The latest version of the portal comes with many new databases that have been created by our ever-growing community. It also comes with better support and extensibility for data analysis and visualization tools. A new addition to our toolbox, the enrichment analysis tool is now accessible through graphical and web service interface. The BioMart community portal averages over one million requests per day. Building on this level of service and the wealth of information that has become available, the BioMart Community Portal has introduced a new, more scalable and cheaper alternative to the large data stores maintained by specialized organizations.

Published
2015

17. Ensembl Genomes: An integrative resource for genome-scale data from non-vertebrate species

Author

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

Subjects
Genomics, Context (language use), Computational biology, Biology, Vertebrate and Genome Annotation Project, Genome, 03 medical and health sciences, 0302 clinical medicine, Ensembl Genomes, Databases, Genetic, Genetics, Ensembl, Animals, 030304 developmental biology, 0303 health sciences, Molecular Sequence Annotation, Genome project, Articles, Invertebrates, Systems Integration, Genome, Fungal, 030217 neurology & neurosurgery, Genome, Bacterial, Genome, Plant, Reference genome
Abstract

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.

Published
2012
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18. Ensembl BioMarts: a hub for data retrieval across taxonomic space

Author

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

Subjects
Information Storage and Retrieval, Biology, Genome, Polymorphism, Single Nucleotide, General Biochemistry, Genetics and Molecular Biology, World Wide Web, 03 medical and health sciences, Annotation, Open Reading Frames, 0302 clinical medicine, Data retrieval, Ensembl Genomes, Anopheles, Databases, Genetic, Ensembl, Animals, Humans, Data content, 030304 developmental biology, 0303 health sciences, Computational Biology, Gene Annotation, Classification, Data warehouse, Search Engine, Original Article, General Agricultural and Biological Sciences, 030217 neurology & neurosurgery, Information Systems
Abstract

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/.

Published
2011

19. A sequence with homology to human HPFH-linked enhancer elements and to a family of G-protein linked membrane receptor genes is located downstream of the chicken beta-globin locus

Author

Daniel M. Staines and Jean O. Thomas

Subjects
Hereditary persistence of fetal hemoglobin, Molecular Sequence Data, Locus (genetics), Receptors, Cell Surface, Biology, Homology (biology), Open Reading Frames, GTP-Binding Proteins, Genetics, medicine, Animals, Humans, Globin, Amino Acid Sequence, Gene, Fetal Hemoglobin, Olfactory receptor, Base Sequence, Sequence Homology, Amino Acid, Chromosome Mapping, General Medicine, DNA, Sequence Analysis, DNA, medicine.disease, Molecular biology, Globins, Open reading frame, medicine.anatomical_structure, Enhancer Elements, Genetic, GenBank, Chickens, Sequence Alignment
Abstract

We report 5805 bp of novel sequence (GenBank/EMBL Accession No. AJ012570) from a region starting approx. 11.5 kb downstream of the chicken β-globin locus (map position approx. +30.8 to +36.6 kb), which contains a 945 bp open reading frame (map position approx. +33 to +33.9 kb). This is predicted to encode a 315-residue protein containing seven hydrophobic helical regions and a 17 amino acid motif characteristic of the R7G family of G-protein coupled membrane-bound receptors. The open reading frame and some surrounding sequence also have significant homology with the breakpoint enhancer elements, which also contain open reading frames, implicated in the HPFH-1/2 and HPFH-6 deletional forms of the human syndrome, hereditary persistence of foetal haemoglobin (HPFH). The existence of similar sequences at similar distances downstream of the β-globin genes in chickens and HPFH patients is intriguing.

Published
1999

20. GrameneMart: the BioMart data portal for the Gramene project

Author

Ken Youens-Clark, Daniel M. Staines, Doreen Ware, and William Spooner

Subjects
Genetic Markers, 0106 biological sciences, Internet, 0303 health sciences, Quantitative Trait Loci, Gene Annotation, 15. Life on land, Biology, Genes, Plant, 01 natural sciences, Genome, General Biochemistry, Genetics and Molecular Biology, World Wide Web, 03 medical and health sciences, Data portal, Databases, Genetic, Database Management Systems, Original Article, Physical mapping, General Agricultural and Biological Sciences, Genome, Plant, 030304 developmental biology, 010606 plant biology & botany, Information Systems
Abstract

Gramene is a well-established resource for plant comparative genome analysis. Data are generated through automated and curated analyses and made available through web interfaces such as GrameneMart. The Gramene project was an early adopter of the BioMart software, which remains an integral and well-used component of the Gramene website. BioMart accessible data sets include plant gene annotations, plant variation catalogues, genetic markers, physical mapping entities, public DNA/mRNA sequences of various types and curated quantitative trait loci for various species. DATABASE URL: http://www.gramene.org/biomart/martview.

Published
2012

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