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Featured researches published by Victoria Petri.


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.


Nature Biotechnology | 2010

The BioPAX community standard for pathway data sharing

Emek Demir; Michael P. Cary; Suzanne M. Paley; Ken Fukuda; Christian Lemer; Imre Vastrik; Guanming Wu; Peter D'Eustachio; Carl F. Schaefer; Joanne S. Luciano; Frank Schacherer; Irma Martínez-Flores; Zhenjun Hu; Verónica Jiménez-Jacinto; Geeta Joshi-Tope; Kumaran Kandasamy; Alejandra López-Fuentes; Huaiyu Mi; Elgar Pichler; Igor Rodchenkov; Andrea Splendiani; Sasha Tkachev; Jeremy Zucker; Gopal Gopinath; Harsha Rajasimha; Ranjani Ramakrishnan; Imran Shah; Mustafa Syed; Nadia Anwar; Özgün Babur

Biological Pathway Exchange (BioPAX) is a standard language to represent biological pathways at the molecular and cellular level and to facilitate the exchange of pathway data. The rapid growth of the volume of pathway data has spurred the development of databases and computational tools to aid interpretation; however, use of these data is hampered by the current fragmentation of pathway information across many databases with incompatible formats. BioPAX, which was created through a community process, solves this problem by making pathway data substantially easier to collect, index, interpret and share. BioPAX can represent metabolic and signaling pathways, molecular and genetic interactions and gene regulation networks. Using BioPAX, millions of interactions, organized into thousands of pathways, from many organisms are available from a growing number of databases. This large amount of pathway data in a computable form will support visualization, analysis and biological discovery.


PLOS Computational Biology | 2009

The Gene Ontology's Reference Genome Project: A Unified Framework for Functional Annotation across Species

Pascale Gaudet; Rex L. Chisholm; Tanya Z. Berardini; Emily Dimmer; Stacia R. Engel; Petra Fey; David P. Hill; Doug Howe; James C. Hu; Rachael P. Huntley; Varsha K. Khodiyar; Ranjana Kishore; Donghui Li; Ruth C. Lovering; Fiona M. McCarthy; Li Ni; Victoria Petri; Deborah A. Siegele; Susan Tweedie; Kimberly Van Auken; Valerie Wood; Siddhartha Basu; Seth Carbon; Mary E. Dolan; Christopher J. Mungall; Kara Dolinski; Paul D. Thomas; Michael Ashburner; Judith A. Blake; J. Michael Cherry

The Gene Ontology (GO) is a collaborative effort that provides structured vocabularies for annotating the molecular function, biological role, and cellular location of gene products in a highly systematic way and in a species-neutral manner with the aim of unifying the representation of gene function across different organisms. Each contributing member of the GO Consortium independently associates GO terms to gene products from the organism(s) they are annotating. Here we introduce the Reference Genome project, which brings together those independent efforts into a unified framework based on the evolutionary relationships between genes in these different organisms. The Reference Genome project has two primary goals: to increase the depth and breadth of annotations for genes in each of the organisms in the project, and to create data sets and tools that enable other genome annotation efforts to infer GO annotations for homologous genes in their organisms. In addition, the project has several important incidental benefits, such as increasing annotation consistency across genome databases, and providing important improvements to the GOs logical structure and biological content.


Nucleic Acids Research | 2015

The Rat Genome Database 2015: genomic, phenotypic and environmental variations and disease

Mary Shimoyama; Jeff De Pons; G. Thomas Hayman; Stanley J. F. Laulederkind; Weisong Liu; Rajni Nigam; Victoria Petri; Jennifer R. Smith; Marek Tutaj; Shur-Jen Wang; Elizabeth A. Worthey; Melinda R. Dwinell; Howard J. Jacob

The Rat Genome Database (RGD, http://rgd.mcw.edu) provides the most comprehensive data repository and informatics platform related to the laboratory rat, one of the most important model organisms for disease studies. RGD maintains and updates datasets for genomic elements such as genes, transcripts and increasingly in recent years, sequence variations, as well as map positions for multiple assemblies and sequence information. Functional annotations for genomic elements are curated from published literature, submitted by researchers and integrated from other public resources. Complementing the genomic data catalogs are those associated with phenotypes and disease, including strains, QTL and experimental phenotype measurements across hundreds of strains. Data are submitted by researchers, acquired through bulk data pipelines or curated from published literature. Innovative software tools provide users with an integrated platform to query, mine, display and analyze valuable genomic and phenomic datasets for discovery and enhancement of their own research. This update highlights recent developments that reflect an increasing focus on: (i) genomic variation, (ii) phenotypes and diseases, (iii) data related to the environment and experimental conditions and (iv) datasets and software tools that allow the user to explore and analyze the interactions among these and their impact on disease.


Nucleic Acids Research | 2009

The Rat Genome Database 2009: variation, ontologies and pathways

Melinda R. Dwinell; Elizabeth A. Worthey; Mary Shimoyama; Burcu Bakir-Gungor; Jeffrey DePons; Stanley J. F. Laulederkind; T. F. Lowry; Rajni Nigram; Victoria Petri; Jennifer R. Smith; Alexander Stoddard; Simon N. Twigger; Howard J. Jacob

The Rat Genome Database (RGD, http://rgd.mcw.edu) was developed to provide a core resource for rat researchers combining genetic, genomic, pathway, phenotype and strain information with a focus on disease. RGD users are provided with access to structured and curated data from the molecular level through to the level of the whole organism, including the variations associated with disease phenotypes. To fully support use of the rat as a translational model for biological systems and human disease, RGD continues to curate these datasets while enhancing and developing tools to allow efficient and effective access to the data in a variety of formats including linear genome viewers, pathway diagrams and biological ontologies. To support pathophysiological analysis of data, RGD Disease Portals provide an entryway to integrated gene, QTL and strain data specific to a particular disease. In addition to tool and content development and maintenance, RGD promotes rat research and provides user education by creating and disseminating tutorials on the curated datasets, submission processes, and tools available at RGD. By curating, storing, integrating, visualizing and promoting rat data, RGD ensures that the investment made into rat genomics and genetics can be leveraged by all interested investigators.


Briefings in Bioinformatics | 2013

The Rat Genome Database 2013—data, tools and users

Stanley J. F. Laulederkind; G. Thomas Hayman; Shur-Jen Wang; Jennifer R. Smith; T. F. Lowry; Rajni Nigam; Victoria Petri; Jeff De Pons; Melinda R. Dwinell; Mary Shimoyama; Diane H. Munzenmaier; Elizabeth A. Worthey; Howard J. Jacob

The Rat Genome Database (RGD) was started >10 years ago to provide a core genomic resource for rat researchers. Currently, RGD combines genetic, genomic, pathway, phenotype and strain information with a focus on disease. RGD users are provided with access to structured and curated data from the molecular level through the organismal level. Those users access RGD from all over the world. End users are not only rat researchers but also researchers working with mouse and human data. Translational research is supported by RGD’s comparative genetics/genomics data in disease portals, in GBrowse, in VCMap and on gene report pages. The impact of RGD also goes beyond the traditional biomedical researcher, as the influence of RGD reaches bioinformaticians, tool developers and curators. Import of RGD data into other publicly available databases expands the influence of RGD to a larger set of end users than those who avail themselves of the RGD website. The value of RGD continues to grow as more types of data and more tools are added, while reaching more types of end users.


Nucleic Acids Research | 2004

The Rat Genome Database (RGD): developments towards a phenome database

Norberto de la Cruz; Susan Bromberg; Dean Pasko; Mary Shimoyama; Simon N. Twigger; Jiali Chen; Chin-Fu Chen; Chunyu Fan; Cindy Foote; Gopal Gopinath; Glenn Harris; Aubrey Hughes; Yuan Ji; Weihong Jin; Dawei Li; Jedidiah Mathis; Natalya Nenasheva; Jeff Nie; Rajni Nigam; Victoria Petri; Dorothy Reilly; Weiye Wang; Wenhua Wu; Angela Zuniga-Meyer; Lan Zhao; Anne E. Kwitek; Peter J. Tonellato; Howard J. Jacob

The Rat Genome Database (RGD) (http://rgd.mcw.edu) aims to meet the needs of its community by providing genetic and genomic infrastructure while also annotating the strengths of rat research: biochemistry, nutrition, pharmacology and physiology. Here, we report on RGDs development towards creating a phenome database. Recent developments can be categorized into three groups. (i) Improved data collection and integration to match increased volume and biological scope of research. (ii) Knowledge representation augmented by the implementation of a new ontology and annotation system. (iii) The addition of quantitative trait loci data, from rat, mouse and human to our advanced comparative genomics tools, as well as the creation of new, and enhancement of existing, tools to enable users to efficiently browse and survey research data. The emphasis is on helping researchers find genes responsible for disease through the use of rat models. These improvements, combined with the genomic sequence of the rat, have led to a successful year at RGD with over two million page accesses that represent an over 4-fold increase in a year. Future plans call for increased annotation of biological information on the rat elucidated through its use as a model for human pathobiology. The continued development of toolsets will facilitate integration of these data into the context of rat genomic sequence, as well as allow comparisons of biological and genomic data with the human genomic sequence and of an increasing number of organisms.


Journal of Biomedical Semantics | 2014

The pathway ontology - updates and applications

Victoria Petri; Pushkala Jayaraman; Marek Tutaj; G. Thomas Hayman; Jennifer R. Smith; Jeff De Pons; Stanley J. F. Laulederkind; T. F. Lowry; Rajni Nigam; Shur-Jen Wang; Mary Shimoyama; Melinda R. Dwinell; Diane H. Munzenmaier; Elizabeth A. Worthey; Howard J. Jacob

BackgroundThe Pathway Ontology (PW) developed at the Rat Genome Database (RGD), covers all types of biological pathways, including altered and disease pathways and captures the relationships between them within the hierarchical structure of a directed acyclic graph. The ontology allows for the standardized annotation of rat, and of human and mouse genes to pathway terms. It also constitutes a vehicle for easy navigation between gene and ontology report pages, between reports and interactive pathway diagrams, between pathways directly connected within a diagram and between those that are globally related in pathway suites and suite networks. Surveys of the literature and the development of the Pathway and Disease Portals are important sources for the ongoing development of the ontology. User requests and mapping of pathways in other databases to terms in the ontology further contribute to increasing its content. Recently built automated pipelines use the mapped terms to make available the annotations generated by other groups.ResultsThe two released pipelines – the Pathway Interaction Database (PID) Annotation Import Pipeline and the Kyoto Encyclopedia of Genes and Genomes (KEGG) Annotation Import Pipeline, make available over 7,400 and 31,000 pathway gene annotations, respectively. Building the PID pipeline lead to the addition of new terms within the signaling node, also augmented by the release of the RGD “Immune and Inflammatory Disease Portal” at that time. Building the KEGG pipeline lead to a substantial increase in the number of disease pathway terms, such as those within the ‘infectious disease pathway’ parent term category. The ‘drug pathway’ node has also seen increases in the number of terms as well as a restructuring of the node. Literature surveys, disease portal deployments and user requests have contributed and continue to contribute additional new terms across the ontology. Since first presented, the content of PW has increased by over 75%.ConclusionsOngoing development of the Pathway Ontology and the implementation of pipelines promote an enriched provision of pathway data. The ontology is freely available for download and use from the RGD ftp site at ftp://rgd.mcw.edu/pub/ontology/pathway/ or from the National Center for Biomedical Ontology (NCBO) BioPortal website at http://bioportal.bioontology.org/ontologies/PW.


Human Genomics | 2011

RGD: A comparative genomics platform

Mary Shimoyama; Jennifer R. Smith; Tom Hayman; Stan Laulederkind; Tim Lowry; Rajni Nigam; Victoria Petri; Shur-Jen Wang; Melinda R. Dwinell; Howard J. Jacob

The Rat Genome Database (RGD) (http://rgd.mcw.edu) provides a comprehensive platform for comparative genomics and genetics research. RGD houses gene, QTL and polymorphic marker data for rat, mouse and human and provides easy access to data through sophisticated searches, disease portals, interactive pathway diagrams and rat and human genome browsers.


PLOS Computational Biology | 2009

The Rat Genome Database Curators: Who, What, Where, Why

Mary Shimoyama; G. Thomas Hayman; Stanley J. F. Laulederkind; Rajni Nigam; T. F. Lowry; Victoria Petri; Jennifer R. Smith; Shur-Jen Wang; Diane H. Munzenmaier; Melinda R. Dwinell; Simon N. Twigger; Howard J. Jacob

abstracts. As can be seen by the amount oftime spent in curation, the time savings forresearchers are substantial. Education and Outreach An essential part of the curator’s job is toprovide education and training for RGDusers and potential users. This is accom-plished in several ways. The RGD Web sitecontains a ‘‘Help’’ section developed by thecurators and which is accessible from allpages. This component contains a Glossaryof Terms, general information on how touse the searches and tools, a FrequentlyAsked Questions (FAQ) section, and acomponent that walks users through typicaluse case scenarios. Curators also handleindividual questions through the userrequest system accessible via the ContactUs button on each page, and throughtelephone calls and the Rat CommunityForum. RGD has published seven tutorialvideos at SciVee (http://www.scivee.tv/), aWeb site for video publications for re-search, and videos are available at RGD aswell. Curators present tutorials at majorconferences such as Experimental Biology,Society of Toxicology, Neuroscience andRat Genomics and Models, as well asindividual rat research laboratories. Inaddition, RGD is well represented at majorconferences such as Biology of Genomes,Genome Informatics, Intelligent Systemsfor Molecular Biology, and the Interna-tional Mammalian Genome Conferencewith presentations and posters highlightingnew tools and datasets. Other outreachactivities involve contact with individualresearchers for nomenclature assignment togenes, QTLs, and strains, as well asconstruction of customized datasets.

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Mary Shimoyama

Medical College of Wisconsin

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Melinda R. Dwinell

Medical College of Wisconsin

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Jennifer R. Smith

Medical College of Wisconsin

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Rajni Nigam

Medical College of Wisconsin

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G. Thomas Hayman

Medical College of Wisconsin

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Shur-Jen Wang

Medical College of Wisconsin

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Howard J. Jacob

Medical College of Wisconsin

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Jeff De Pons

Medical College of Wisconsin

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Marek Tutaj

Medical College of Wisconsin

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