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Dive into the research topics where Kimberly Van Auken is active.

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Featured researches published by Kimberly Van Auken.


Nucleic Acids Research | 2007

The BioGRID Interaction Database: 2011 update

Chris Stark; Bobby-Joe Breitkreutz; Andrew Chatr-aryamontri; Lorrie Boucher; Rose Oughtred; Michael S. Livstone; Julie Nixon; Kimberly Van Auken; Xiaodong Wang; Xiaoqi Shi; Teresa Reguly; Jennifer M. Rust; Andrew Winter; Kara Dolinski; Mike Tyers

The Biological General Repository for Interaction Datasets (BioGRID) is a public database that archives and disseminates genetic and protein interaction data from model organisms and humans (http://www.thebiogrid.org). BioGRID currently holds 347 966 interactions (170 162 genetic, 177 804 protein) curated from both high-throughput data sets and individual focused studies, as derived from over 23 000 publications in the primary literature. Complete coverage of the entire literature is maintained for budding yeast (Saccharomyces cerevisiae), fission yeast (Schizosaccharomyces pombe) and thale cress (Arabidopsis thaliana), and efforts to expand curation across multiple metazoan species are underway. The BioGRID houses 48 831 human protein interactions that have been curated from 10 247 publications. Current curation drives are focused on particular areas of biology to enable insights into conserved networks and pathways that are relevant to human health. The BioGRID 3.0 web interface contains new search and display features that enable rapid queries across multiple data types and sources. An automated Interaction Management System (IMS) is used to prioritize, coordinate and track curation across international sites and projects. BioGRID provides interaction data to several model organism databases, resources such as Entrez-Gene and other interaction meta-databases. The entire BioGRID 3.0 data collection may be downloaded in multiple file formats, including PSI MI XML. Source code for BioGRID 3.0 is freely available without any restrictions.


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 | 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 | 2010

WormBase: a comprehensive resource for nematode research

Todd W. Harris; Igor Antoshechkin; Tamberlyn Bieri; Darin Blasiar; Juancarlos Chan; Wen J. Chen; Norie De La Cruz; Paul H. Davis; Margaret Duesbury; Ruihua Fang; Jolene S. Fernandes; Michael Han; Ranjana Kishore; Raymond Y. N. Lee; Hans-Michael Müller; Cecilia Nakamura; Philip Ozersky; Andrei Petcherski; Arun Rangarajan; Anthony Rogers; Gary Schindelman; Erich M. Schwarz; Mary Ann Tuli; Kimberly Van Auken; Daniel Wang; Xiaodong Wang; Gary Williams; Karen Yook; Richard Durbin; Lincoln Stein

WormBase (http://www.wormbase.org) is a central data repository for nematode biology. Initially created as a service to the Caenorhabditis elegans research field, WormBase has evolved into a powerful research tool in its own right. In the past 2 years, we expanded WormBase to include the complete genomic sequence, gene predictions and orthology assignments from a range of related nematodes. This comparative data enrich the C. elegans data with improved gene predictions and a better understanding of gene function. In turn, they bring the wealth of experimental knowledge of C. elegans to other systems of medical and agricultural importance. Here, we describe new species and data types now available at WormBase. In addition, we detail enhancements to our curatorial pipeline and website infrastructure to accommodate new genomes and an extensive user base.


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 | 2012

WormBase 2012: more genomes, more data, new website

Karen Yook; Todd W. Harris; Tamberlyn Bieri; Abigail Cabunoc; Juancarlos Chan; Wen J. Chen; Paul H. Davis; Norie De La Cruz; Adrian Duong; Ruihua Fang; Uma Ganesan; Christian A. Grove; Kevin L. Howe; Snehalata Kadam; Ranjana Kishore; Raymond Y. N. Lee; Yuling Li; Hans-Michael Müller; Cecilia Nakamura; Bill Nash; Philip Ozersky; Michael Paulini; Daniela Raciti; Arun Rangarajan; Gary Schindelman; Xiaoqi Shi; Erich M. Schwarz; Mary Ann Tuli; Kimberly Van Auken; Daniel Wang

Since its release in 2000, WormBase (http://www.wormbase.org) has grown from a small resource focusing on a single species and serving a dedicated research community, to one now spanning 15 species essential to the broader biomedical and agricultural research fields. To enhance the rate of curation, we have automated the identification of key data in the scientific literature and use similar methodology for data extraction. To ease access to the data, we are collaborating with journals to link entities in research publications to their report pages at WormBase. To facilitate discovery, we have added new views of the data, integrated large-scale datasets and expanded descriptions of models for human disease. Finally, we have introduced a dramatic overhaul of the WormBase website for public beta testing. Designed to balance complexity and usability, the new site is species-agnostic, highly customizable, and interactive. Casual users and developers alike will be able to leverage the public RESTful application programming interface (API) to generate custom data mining solutions and extensions to the site. We report on the growth of our database and on our work in keeping pace with the growing demand for data, efforts to anticipate the requirements of users and new collaborations with the larger science community.


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 | 2014

WormBase 2014: new views of curated biology

Todd W. Harris; Joachim Baran; Tamberlyn Bieri; Abigail Cabunoc; Juancarlos Chan; Wen J. Chen; Paul H. Davis; James Done; Christian A. Grove; Kevin L. Howe; Ranjana Kishore; Raymond Y. N. Lee; Yuling Li; Hans-Michael Müller; Cecilia Nakamura; Philip Ozersky; Michael Paulini; Daniela Raciti; Gary Schindelman; Mary Ann Tuli; Kimberly Van Auken; Daniel Wang; Xiaodong Wang; Gary Williams; Jennifer Wong; Karen Yook; Tim Schedl; Jonathan Hodgkin; Matthew Berriman; Paul J. Kersey

WormBase (http://www.wormbase.org/) is a highly curated resource dedicated to supporting research using the model organism Caenorhabditis elegans. With an electronic history predating the World Wide Web, WormBase contains information ranging from the sequence and phenotype of individual alleles to genome-wide studies generated using next-generation sequencing technologies. In recent years, we have expanded the contents to include data on additional nematodes of agricultural and medical significance, bringing the knowledge of C. elegans to bear on these systems and providing support for underserved research communities. Manual curation of the primary literature remains a central focus of the WormBase project, providing users with reliable, up-to-date and highly cross-linked information. In this update, we describe efforts to organize the original atomized and highly contextualized curated data into integrated syntheses of discrete biological topics. Next, we discuss our experiences coping with the vast increase in available genome sequences made possible through next-generation sequencing platforms. Finally, we describe some of the features and tools of the new WormBase Web site that help users better find and explore data of interest.


Nucleic Acids Research | 2016

WormBase 2016: expanding to enable helminth genomic research

Kevin L. Howe; Bruce J. Bolt; Scott Cain; Juancarlos Chan; Wen J. Chen; Paul Davis; James Done; Thomas A. Down; Sibyl Gao; Christian A. Grove; Todd W. Harris; Ranjana Kishore; Raymond Y. N. Lee; Jane Lomax; Yuling Li; Hans-Michael Müller; Cecilia Nakamura; Paulo A. S. Nuin; Michael Paulini; Daniela Raciti; Gary Schindelman; Eleanor Stanley; Mary Ann Tuli; Kimberly Van Auken; Daniel Wang; Xiaodong Wang; Gary Williams; Adam Wright; Karen Yook; Matthew Berriman

WormBase (www.wormbase.org) is a central repository for research data on the biology, genetics and genomics of Caenorhabditis elegans and other nematodes. The project has evolved from its original remit to collect and integrate all data for a single species, and now extends to numerous nematodes, ranging from evolutionary comparators of C. elegans to parasitic species that threaten plant, animal and human health. Research activity using C. elegans as a model system is as vibrant as ever, and we have created new tools for community curation in response to the ever-increasing volume and complexity of data. To better allow users to navigate their way through these data, we have made a number of improvements to our main website, including new tools for browsing genomic features and ontology annotations. Finally, we have developed a new portal for parasitic worm genomes. WormBase ParaSite (parasite.wormbase.org) contains all publicly available nematode and platyhelminth annotated genome sequences, and is designed specifically to support helminth genomic research.


Nucleic Acids Research | 2007

WormBase: new content and better access

Tamberlyn Bieri; Darin Blasiar; Philip Ozersky; Igor Antoshechkin; Carol Bastiani; Payan Canaran; Juancarlos Chan; Nansheng Chen; Wen J. Chen; Paul Davis; Tristan J. Fiedler; Lisa R. Girard; Michael Han; Todd W. Harris; Ranjana Kishore; Raymond Y. N. Lee; Sheldon J. McKay; Hans-Michael Müller; Cecilia Nakamura; Andrei Petcherski; Arun Rangarajan; Anthony Rogers; Gary Schindelman; Erich M. Schwarz; William Spooner; Mary Ann Tuli; Kimberly Van Auken; Daniel Wang; Xiaodong Wang; Gary Williams

WormBase (), a model organism database for Caenorhabditis elegans and other related nematodes, continues to evolve and expand. Over the past year WormBase has added new data on C.elegans, including data on classical genetics, cell biology and functional genomics; expanded the annotation of closely related nematodes with a new genome browser for Caenorhabditis remanei; and deployed new hardware for stronger performance. Several existing datasets including phenotype descriptions and RNAi experiments have seen a large increase in new content. New datasets such as the C.remanei draft assembly and annotations, the Vancouver Fosmid library and TEC-RED 5′ end sites are now available as well. Access to and searching WormBase has become more dependable and flexible via multiple mirror sites and indexing through Google.

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Dive into the Kimberly Van Auken's collaboration.

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Hans-Michael Müller

California Institute of Technology

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Juancarlos Chan

California Institute of Technology

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Paul W. Sternberg

California Institute of Technology

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Ranjana Kishore

California Institute of Technology

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Raymond Y. N. Lee

California Institute of Technology

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Todd W. Harris

Cold Spring Harbor Laboratory

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Wen J. Chen

California Institute of Technology

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Cecilia Nakamura

Washington University in St. Louis

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Mary Ann Tuli

California Institute of Technology

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Gary Schindelman

California Institute of Technology

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