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Dive into the research topics where Martin Ringwald is active.

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Featured researches published by Martin Ringwald.


Nature Genetics | 2000

Gene ontology: tool for the unification of biology. The Gene Ontology Consortium.

Michael Ashburner; Catherine A. Ball; Judith A. Blake; David Botstein; Heather L. Butler; J. Michael Cherry; Allan Peter Davis; Kara Dolinski; Selina S. Dwight; Janan T. Eppig; Midori A. Harris; David P. Hill; Laurie Issel-Tarver; Andrew Kasarskis; Suzanna E. Lewis; John C. Matese; Joel E. Richardson; Martin Ringwald; Gerald M. Rubin; Gavin Sherlock

Genomic sequencing has made it clear that a large fraction of the genes specifying the core biological functions are shared by all eukaryotes. Knowledge of the biological role of such shared proteins in one organism can often be transferred to other organisms. The goal of the Gene Ontology Consortium is to produce a dynamic, controlled vocabulary that can be applied to all eukaryotes even as knowledge of gene and protein roles in cells is accumulating and changing. To this end, three independent ontologies accessible on the World-Wide Web (http://www.geneontology.org) are being constructed: biological process, molecular function and cellular component.


Nucleic Acids Research | 2004

The Gene Ontology (GO) database and informatics resource.

Midori A. Harris; Jennifer I. Clark; Amelia Ireland; Jane Lomax; Michael Ashburner; R. Foulger; K. Eilbeck; Suzanna E. Lewis; B. Marshall; Christopher J. Mungall; John Richter; Gerald M. Rubin; Judith A. Blake; Mary E. Dolan; Harold J. Drabkin; Janan T. Eppig; David P. Hill; Li Ni; Martin Ringwald; Rama Balakrishnan; J. M. Cherry; Karen R. Christie; Maria C. Costanzo; Selina S. Dwight; Stacia R. Engel; Dianna G. Fisk; Jodi E. Hirschman; Eurie L. Hong; Robert S. Nash; Anand Sethuraman

The Gene Ontology (GO) project (http://www. geneontology.org/) provides structured, controlled vocabularies and classifications that cover several domains of molecular and cellular biology and are freely available for community use in the annotation of genes, gene products and sequences. Many model organism databases and genome annotation groups use the GO and contribute their annotation sets to the GO resource. The GO database integrates the vocabularies and contributed annotations and provides full access to this information in several formats. Members of the GO Consortium continually work collectively, involving outside experts as needed, to expand and update the GO vocabularies. The GO Web resource also provides access to extensive documentation about the GO project and links to applications that use GO data for functional analyses.


Nature | 2001

Functional annotation of a full-length mouse cDNA collection

Jun Kawai; Akira Shinagawa; Kazuhiro Shibata; Masataka Yoshino; Masayoshi Itoh; Yoshiyuki Ishii; Takahiro Arakawa; Ayako Hara; Yoshifumi Fukunishi; Hideaki Konno; Jun Adachi; Shiro Fukuda; Katsunori Aizawa; Masaki Izawa; Kenichiro Nishi; Hidenori Kiyosawa; Shinji Kondo; Itaru Yamanaka; Tsuyoshi Saito; Yasushi Okazaki; Takashi Gojobori; Hidemasa Bono; Takeya Kasukawa; R. Saito; Koji Kadota; Hideo Matsuda; Michael Ashburner; Serge Batalov; Tom L. Casavant; W. Fleischmann

The RIKEN Mouse Gene Encyclopaedia Project, a systematic approach to determining the full coding potential of the mouse genome, involves collection and sequencing of full-length complementary DNAs and physical mapping of the corresponding genes to the mouse genome. We organized an international functional annotation meeting (FANTOM) to annotate the first 21,076 cDNAs to be analysed in this project. Here we describe the first RIKEN clone collection, which is one of the largest described for any organism. Analysis of these cDNAs extends known gene families and identifies new ones.The RIKEN Mouse Gene Encyclopaedia Project, a systematic approach to determining the full coding potential of the mouse genome, involves collection and sequencing of full-length complementary DNAs and physical mapping of the corresponding genes to the mouse genome. We organized an international functional annotation meeting (FANTOM) to annotate the first 21,076 cDNAs to be analysed in this project. Here we describe the first RIKEN clone collection, which is one of the largest described for any organism. Analysis of these cDNAs extends known gene families and identifies new ones.


Nucleic Acids Research | 2008

The Gene Ontology project in 2008

Midori A. Harris; Jennifer I. Deegan; Amelia Ireland; Jane Lomax; Michael Ashburner; Susan Tweedie; Seth Carbon; Suzanna E. Lewis; Christopher J. Mungall; John Richter; Karen Eilbeck; Judith A. Blake; Alexander D. Diehl; Mary E. Dolan; Harold Drabkin; Janan T. Eppig; David P. Hill; Ni Li; Martin Ringwald; Rama Balakrishnan; Gail Binkley; J. Michael Cherry; Karen R. Christie; Maria C. Costanzo; Qing Dong; Stacia R. Engel; Dianna G. Fisk; Jodi E. Hirschman; Benjamin C. Hitz; Eurie L. Hong

The Gene Ontology (GO) project (http://www.geneontology.org/) provides a set of structured, controlled vocabularies for community use in annotating genes, gene products and sequences (also see http://www.sequenceontology.org/). The ontologies have been extended and refined for several biological areas, and improvements to the structure of the ontologies have been implemented. To improve the quantity and quality of gene product annotations available from its public repository, the GO Consortium has launched a focused effort to provide comprehensive and detailed annotation of orthologous genes across a number of ‘reference’ genomes, including human and several key model organisms. Software developments include two releases of the ontology-editing tool OBO-Edit, and improvements to the AmiGO browser interface.


Nucleic Acids Research | 2007

The mouse Gene Expression Database (GXD): 2007 update

Constance M. Smith; Jacqueline H. Finger; Terry F. Hayamizu; Ingeborg J. McCright; Janan T. Eppig; James A. Kadin; Joel E. Richardson; Martin Ringwald

The Gene Expression Database (GXD) provides the scientific community with an extensive and easily searchable database of gene expression information about the mouse. Its primary emphasis is on developmental studies. By integrating different types of expression data, GXD aims to provide comprehensive information about expression patterns of transcripts and proteins in wild-type and mutant mice. Integration with the other Mouse Genome Informatics (MGI) databases places the gene expression information in the context of genetic, sequence, functional and phenotypic information, enabling valuable insights into the molecular biology that underlies developmental and disease processes. In recent years the utility of GXD has been greatly enhanced by a large increase in data content, obtained from the literature and provided by researchers doing large-scale in situ and cDNA screens. In addition, we have continued to refine our query and display features to make it easier for users to interrogate the data. GXD is available through the MGI web site at or directly at .


Genome Biology | 2005

The Adult Mouse Anatomical Dictionary: a tool for annotating and integrating data

Terry F. Hayamizu; Mary Mangan; John P. Corradi; James A. Kadin; Martin Ringwald

We have developed an ontology to provide standardized nomenclature for anatomical terms in the postnatal mouse. The Adult Mouse Anatomical Dictionary is structured as a directed acyclic graph, and is organized hierarchically both spatially and functionally. The ontology will be used to annotate and integrate different types of data pertinent to anatomy, such as gene expression patterns and phenotype information, which will contribute to an integrated description of biological phenomena in the mouse.


Nucleic Acids Research | 2001

The mouse gene expression database GXD.

Martin Ringwald; Janan T. Eppig; Dale A. Begley; John P. Corradi; Ingeborg J. McCright; Terry F. Hayamizu; David P. Hill; James A. Kadin; Joel E. Richardson

The Gene Expression Database (GXD) is a community resource of gene expression information for the laboratory mouse. By combining the different types of expression data, GXD aims to provide increasingly complete information about the expression profiles of genes in different mouse strains and mutants, thus enabling valuable insights into the molecular networks that underlie normal development and disease. GXD is integrated with the Mouse Genome Database (MGD). Extensive interconnections with sequence databases and with databases from other species, and the development and use of shared controlled vocabularies extend GXDs utility for the analysis of gene expression information. GXD is accessible through the Mouse Genome Informatics web site at http://www.informatics.jax.org/ or directly at http://www.informatics.jax.org/menus/expression_menu. shtml.


Nature Biotechnology | 2008

Minimum information specification for in situ hybridization and immunohistochemistry experiments (MISFISHIE)

Eric W. Deutsch; Catherine A. Ball; Jules J. Berman; G. Steven Bova; Alvis Brazma; Roger E. Bumgarner; David N. Campbell; Helen C. Causton; Jeffrey H. Christiansen; Fabrice Daian; Delphine Dauga; Duncan Davidson; Gregory Gimenez; Young Ah Goo; Sean M. Grimmond; Thorsten Henrich; Bernhard G. Herrmann; Michael H. Johnson; Martin Korb; Jason C. Mills; Asa Oudes; Helen Parkinson; Laura E. Pascal; Nicolas Pollet; John Quackenbush; Mirana Ramialison; Martin Ringwald; David Salgado; Susanna-Assunta Sansone; Gavin Sherlock

One purpose of the biomedical literature is to report results in sufficient detail that the methods of data collection and analysis can be independently replicated and verified. Here we present reporting guidelines for gene expression localization experiments: the minimum information specification for in situ hybridization and immunohistochemistry experiments (MISFISHIE). MISFISHIE is modeled after the Minimum Information About a Microarray Experiment (MIAME) specification for microarray experiments. Both guidelines define what information should be reported without dictating a format for encoding that information. MISFISHIE describes six types of information to be provided for each experiment: experimental design, biomaterials and treatments, reporters, staining, imaging data and image characterizations. This specification has benefited the consortium within which it was developed and is expected to benefit the wider research community. We welcome feedback from the scientific community to help improve our proposal.


Nucleic Acids Research | 2011

The IKMC web portal: a central point of entry to data and resources from the International Knockout Mouse Consortium.

Martin Ringwald; Vivek Iyer; Jeremy Mason; Kevin Stone; Hamsa Tadepally; James A. Kadin; Janan T. Eppig; Darren J. Oakley; Sebastien Briois; Elia Stupka; Vincenza Maselli; Damian Smedley; Songyan Liu; Jens Hansen; Richard A. Baldock; Geoffrey G. Hicks; William C. Skarnes

The International Knockout Mouse Consortium (IKMC) aims to mutate all protein-coding genes in the mouse using a combination of gene targeting and gene trapping in mouse embryonic stem (ES) cells and to make the generated resources readily available to the research community. The IKMC database and web portal (www.knockoutmouse.org) serves as the central public web site for IKMC data and facilitates the coordination and prioritization of work within the consortium. Researchers can access up-to-date information on IKMC knockout vectors, ES cells and mice for specific genes, and follow links to the respective repositories from which corresponding IKMC products can be ordered. Researchers can also use the web site to nominate genes for targeting, or to indicate that targeting of a gene should receive high priority. The IKMC database provides data to, and features extensive interconnections with, other community databases.


Nucleic Acids Research | 2004

The mouse Gene Expression Database (GXD): updates and enhancements

David P. Hill; Dale A. Begley; Jacqueline H. Finger; Terry F. Hayamizu; Ingeborg J. McCright; Constance M. Smith; Jon S. Beal; Lori E. Corbani; Judith A. Blake; Janan T. Eppig; James A. Kadin; Joel E. Richardson; Martin Ringwald

The Gene Expression Database (GXD) is a community resource for gene expression information in the laboratory mouse. By collecting and integrating different types of expression data, GXD provides information about expression profiles in different mouse strains and mutants. Participation in the Gene Ontology (GO) project classifies genes and gene products with regard to molecular functions, biological processes, and cellular components. Integration with other Mouse Genome Informatics (MGI) databases places the gene expression information in the context of mouse genetic, genomic and phenotypic information. The integration of these types of information enables valuable insights into the molecular biology that underlies development and disease. The utility of GXD has been improved by the daily addition of new data and through the implementation of new query and display features. These improvements make it easier for users to interrogate and visualize expression data in the context of their specific needs. GXD is accessible through the MGI website at http://www.informatics.jax.org/ or directly at http://www. informatics.jax.org/menus/expression_menu.shtml.

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Janan T. Eppig

Mount Desert Island Biological Laboratory

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Joel E. Richardson

Mount Desert Island Biological Laboratory

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James A. Kadin

European Bioinformatics Institute

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Helen Parkinson

European Bioinformatics Institute

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