W J Boddy

Publications (3)16.05 Total impact

• Source

  Available from: Judith A Blake

  Article: The Mouse Genome Database (MGD): from genes to mice--a community resource for mouse biology.

  Janan T Eppig, Carol J Bult, James A Kadin, Joel E Richardson, Judith A Blake, A Anagnostopoulos, R M Baldarelli, M Baya, J S Beal, S M Bello, [......], B Richards-Smith, D R Shaw, R Sinclair, C L Smith, P Szauter, M B Walker, D O Walton, L L Washburn, I T Witham, Y Zhu
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  ABSTRACT: The Mouse Genome Database (MGD) forms the core of the Mouse Genome Informatics (MGI) system (http://www.informatics.jax.org), a model organism database resource for the laboratory mouse. MGD provides essential integration of experimental knowledge for the mouse system with information annotated from both literature and online sources. MGD curates and presents consensus and experimental data representations of genotype (sequence) through phenotype information, including highly detailed reports about genes and gene products. Primary foci of integration are through representations of relationships among genes, sequences and phenotypes. MGD collaborates with other bioinformatics groups to curate a definitive set of information about the laboratory mouse and to build and implement the data and semantic standards that are essential for comparative genome analysis. Recent improvements in MGD discussed here include the enhancement of phenotype resources, the re-development of the International Mouse Strain Resource, IMSR, the update of mammalian orthology datasets and the electronic publication of classic books in mouse genetics.
  Nucleic Acids Research 02/2005; 33(Database issue):D471-5. · 8.03 Impact Factor
• Article: The Mouse Genome Database (MGD): integrating biology with the genome.

  Carol J Bult, Judith A Blake, Joel E Richardson, James A Kadin, Janan T Eppig, R M Baldarelli, K Barsanti, M Baya, J S Beal, W J Boddy, [......], D R Shaw, C L Smith, P Szauter, B Taylor, P Vanden Borre, M Walker, L Washburn, I Witham, J Winslow, Y Zhu
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  ABSTRACT: The Mouse Genome Database (MGD) is one component of the Mouse Genome Informatics (MGI) system (http://www.informatics.jax.org), a community database resource for the laboratory mouse. MGD strives to provide a comprehensive knowledgebase about the mouse with experiments and data annotated from both literature and online sources. MGD curates and presents consensus and experimental data representations of genetic, genotype (sequence) and phenotype information including highly detailed reports about genes and gene products. Primary foci of integration are through representations of relationships between genes, sequences and phenotypes. MGD collaborates with other bioinformatics groups to curate a definitive set of information about the laboratory mouse and to build and implement the data and semantic standards that are essential for comparative genome analysis. Recent developments in MGD discussed here include an extensive integration of the mouse sequence data and substantial revisions in the presentation, query and visualization of sequence data.
  Nucleic Acids Research 02/2004; 32(Database issue):D476-81. · 8.03 Impact Factor
• Conference Proceeding: Mouse genome informatics in a new age of biological inquiry

  C J Bult, J E Richardson, J A Blake, J A Kadin, M Ringwald, J T Eppig, R M Baldarelli, M Baya, J S Beal, D A Begley, [......], P. Mani, I. McCright, L. McKenzie, D. Naf, J E Ormsby, S Ramachandran, D J Reed, D R Shaw, P Szauter, L.A. Trombley
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  ABSTRACT: Data integration is key to knowledge discovery in the age of genomics and represents a major, long-standing challenge for the genome informatics community. Integration of data across heterogeneous genome databases requires the identification of common data entities and mechanisms to ensure referential integrity and persistence of these common entities even as our understanding of their biological properties changes. The Mouse Genome Informatics (MGI) database group employs multiple strategies for achieving data integration and maintaining inter-connectedness with other databases, including: (1) the use of permanent, unique accession IDs for identifying core data entities, (2) the application of nomenclature standards for naming genes and strains of mice, and (3) the development and implementation of controlled vocabularies and ontologies to ensure semantic consistency of biological concepts within and across model organism databases
  Bio-Informatics and Biomedical Engineering, 2000. Proceedings. IEEE International Symposium on; 02/2000