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Featured researches published by Daniel Lawson.


Nucleic Acids Research | 2004

WormBase: a multi-species resource for nematode biology and genomics.

Todd W. Harris; Nansheng Chen; Fiona Cunningham; Marcela K. Tello-Ruiz; Igor Antoshechkin; Carol Bastiani; Tamberlyn Bieri; Darin Blasiar; Keith Bradnam; Juancarlos Chan; Chao-Kung Chen; Wen J. Chen; Paul H. Davis; Eimear E. Kenny; Ranjana Kishore; Daniel Lawson; Raymond Y. N. Lee; Hans-Michael Müller; Cecilia Nakamura; Philip Ozersky; Andrei Petcherski; Anthony Rogers; Aniko Sabo; Erich M. Schwarz; Kimberly Van Auken; Qinghua Wang; Richard Durbin; John Spieth; Paul W. Sternberg; Lincoln Stein

WormBase (http://www.wormbase.org/) is the central data repository for information about Caenorhabditis elegans and related nematodes. As a model organism database, WormBase extends beyond the genomic sequence, integrating experimental results with extensively annotated views of the genome. The WormBase Consortium continues to expand the biological scope and utility of WormBase with the inclusion of large-scale genomic analyses, through active data and literature curation, through new analysis and visualization tools, and through refinement of the user interface. Over the past year, the nearly complete genomic sequence and comparative analyses of the closely related species Caenorhabditis briggsae have been integrated into WormBase, including gene predictions, ortholog assignments and a new synteny viewer to display the relationships between the two species. Extensive site-wide refinement of the user interface now provides quick access to the most frequently accessed resources and a consistent browsing experience across the site. Unified single-page views now provide complete summaries of commonly accessed entries like genes. These advances continue to increase the utility of WormBase for C.elegans researchers, as well as for those researchers exploring problems in functional and comparative genomics in the context of a powerful genetic system.


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.


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 | 2004

WormBase: a comprehensive data resource for Caenorhabditis biology and genomics

Nansheng Chen; Todd W. Harris; Igor Antoshechkin; Carol Bastiani; Tamberlyn Bieri; Darin Blasiar; Keith Bradnam; Payan Canaran; Juancarlos Chan; Chao-Kung Chen; Wen J. Chen; Fiona Cunningham; Paul H. Davis; Eimear E. Kenny; Ranjana Kishore; Daniel Lawson; Raymond Y. N. Lee; Hans-Michael Müller; Cecilia Nakamura; Shraddha Pai; Philip Ozersky; Andrei Petcherski; Anthony Rogers; Aniko Sabo; Erich M. Schwarz; Kimberly Van Auken; Qinghua Wang; Richard Durbin; John Spieth; Paul W. Sternberg

WormBase (http://www.wormbase.org), the model organism database for information about Caenorhabditis elegans and related nematodes, continues to expand in breadth and depth. Over the past year, WormBase has added multiple large-scale datasets including SAGE, interactome, 3D protein structure datasets and NCBI KOGs. To accommodate this growth, the International WormBase Consortium has improved the user interface by adding new features to aid in navigation, visualization of large-scale datasets, advanced searching and data mining. Internally, we have restructured the database models to rationalize the representation of genes and to prepare the system to accept the genome sequences of three additional Caenorhabditis species over the coming year.


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.


Nature Communications | 2016

Genomic insights into the Ixodes scapularis tick vector of Lyme disease

Monika Gulia-Nuss; Andrew B. Nuss; Jason M. Meyer; Daniel E. Sonenshine; R. Michael Roe; Robert M. Waterhouse; David B. Sattelle; José de la Fuente; José M. C. Ribeiro; Karine Megy; Jyothi Thimmapuram; Jason R. Miller; Brian Walenz; Sergey Koren; Jessica B. Hostetler; Mathangi Thiagarajan; Vinita Joardar; Linda I. Hannick; Shelby Bidwell; Martin Hammond; Qiandong Zeng; Jenica Abrudan; Francisca C. Almeida; Nieves Ayllón; Ketaki Bhide; Brooke W. Bissinger; Elena Bonzón-Kulichenko; Steven D. Buckingham; Daniel R. Caffrey; Melissa J. Caimano

Ticks transmit more pathogens to humans and animals than any other arthropod. We describe the 2.1u2009Gbp nuclear genome of the tick, Ixodes scapularis (Say), which vectors pathogens that cause Lyme disease, human granulocytic anaplasmosis, babesiosis and other diseases. The large genome reflects accumulation of repetitive DNA, new lineages of retro-transposons, and gene architecture patterns resembling ancient metazoans rather than pancrustaceans. Annotation of scaffolds representing ∼57% of the genome, reveals 20,486 protein-coding genes and expansions of gene families associated with tick–host interactions. We report insights from genome analyses into parasitic processes unique to ticks, including host ‘questing, prolonged feeding, cuticle synthesis, blood meal concentration, novel methods of haemoglobin digestion, haem detoxification, vitellogenesis and prolonged off-host survival. We identify proteins associated with the agent of human granulocytic anaplasmosis, an emerging disease, and the encephalitis-causing Langat virus, and a population structure correlated to life-history traits and transmission of the Lyme disease agent.


Nucleic Acids Research | 2012

VectorBase: improvements to a bioinformatics resource for invertebrate vector genomics

Karine Megy; Scott J. Emrich; Daniel Lawson; David E. Campbell; Emmanuel Dialynas; Daniel S.T. Hughes; Gautier Koscielny; Christos Louis; Robert M. MacCallum; Seth Redmond; Andrew Sheehan; Pantelis Topalis; Derek Wilson

VectorBase (http://www.vectorbase.org) is a NIAID-supported bioinformatics resource for invertebrate vectors of human pathogens. It hosts data for nine genomes: mosquitoes (three Anopheles gambiae genomes, Aedes aegypti and Culex quinquefasciatus), tick (Ixodes scapularis), body louse (Pediculus humanus), kissing bug (Rhodnius prolixus) and tsetse fly (Glossina morsitans). Hosted data range from genomic features and expression data to population genetics and ontologies. We describe improvements and integration of new data that expand our taxonomic coverage. Releases are bi-monthly and include the delivery of preliminary data for emerging genomes. Frequent updates of the genome browser provide VectorBase users with increasing options for visualizing their own high-throughput data. One major development is a new population biology resource for storing genomic variations, insecticide resistance data and their associated metadata. It takes advantage of improved ontologies and controlled vocabularies. Combined, these new features ensure timely release of multiple types of data in the public domain while helping overcome the bottlenecks of bioinformatics and annotation by engaging with our user community.


Nucleic Acids Research | 2015

VectorBase: an updated bioinformatics resource for invertebrate vectors and other organisms related with human diseases

Gloria I. Giraldo-Calderón; Scott J. Emrich; Robert M. MacCallum; Gareth Maslen; Emmanuel Dialynas; Pantelis Topalis; Nicholas Ho; Sandra Gesing; Gregory R. Madey; Frank H. Collins; Daniel Lawson

VectorBase is a National Institute of Allergy and Infectious Diseases supported Bioinformatics Resource Center (BRC) for invertebrate vectors of human pathogens. Now in its 11th year, VectorBase currently hosts the genomes of 35 organisms including a number of non-vectors for comparative analysis. Hosted data range from genome assemblies with annotated gene features, transcript and protein expression data to population genetics including variation and insecticide-resistance phenotypes. Here we describe improvements to our resource and the set of tools available for interrogating and accessing BRC data including the integration of Web Apollo to facilitate community annotation and providing Galaxy to support user-based workflows. VectorBase also actively supports our community through hands-on workshops and online tutorials. All information and data are freely available from our website at https://www.vectorbase.org/.


Database | 2011

BioMart Central Portal: an open database network for the biological community

Jonathan M. Guberman; J. Ai; Olivier Arnaiz; Joachim Baran; Andrew Blake; Richard Baldock; Claude Chelala; David Croft; Anthony Cros; Rosalind J. Cutts; A. Di Génova; Simon A. Forbes; T. Fujisawa; Emanuela Gadaleta; David Goodstein; Gunes Gundem; Bernard Haggarty; Syed Haider; Matthew Hall; Todd W. Harris; Robin Haw; Songnian Hu; Simon J. Hubbard; Jack Hsu; Vivek Iyer; Philip Jones; Toshiaki Katayama; Rhoda Kinsella; Lei Kong; Daniel Lawson

BioMart Central Portal is a first of its kind, community-driven effort to provide unified access to dozens of biological databases spanning genomics, proteomics, model organisms, cancer data, ontology information and more. Anybody can contribute an independently maintained resource to the Central Portal, allowing it to be exposed to and shared with the research community, and linking it with the other resources in the portal. Users can take advantage of the common interface to quickly utilize different sources without learning a new system for each. The system also simplifies cross-database searches that might otherwise require several complicated steps. Several integrated tools streamline common tasks, such as converting between ID formats and retrieving sequences. The combination of a wide variety of databases, an easy-to-use interface, robust programmatic access and the array of tools make Central Portal a one-stop shop for biological data querying. Here, we describe the structure of Central Portal and show example queries to demonstrate its capabilities. Database URL: http://central.biomart.org.


Science | 2011

Creating a Buzz About Insect Genomes

Gene E. Robinson; Kevin J. Hackett; Mary Purcell-Miramontes; Susan J. Brown; Jay D. Evans; Marian R. Goldsmith; Daniel Lawson; Jack Okamuro; Hugh M. Robertson; David J. Schneider

WHEN E. O. WILSON PROCLAIMED THAT INSECTS ARE THE “little creatures who run the world” (1), he was simply reaffi rming the long-recognized dominance of the largest class of animals on our planet. Insects constitute approximately 53% of all living species, with one group alone (the ants), accounting for almost a quarter of terrestrial animal biomass (2). These tiny creatures also exert outsized impacts on human affairs. By serving as pollinators to more than 75% of fl owering plant species (3), insects are essential to the maintenance and productivity of natural and agricultural ecosystems. But other insects consume or damage more than 25% of all agricultural, forestry, and livestock production in the United States, costing our economy more than

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Todd W. Harris

Cold Spring Harbor Laboratory

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John Spieth

European Bioinformatics Institute

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Keith Bradnam

University of California

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Paul J. Kersey

European Bioinformatics Institute

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Andrei Petcherski

Washington University in St. Louis

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Anthony Rogers

Washington University in St. Louis

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Eimear E. Kenny

Icahn School of Medicine at Mount Sinai

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