Juancarlos Chan
California Institute of Technology
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Featured researches published by Juancarlos Chan.
Nucleic Acids Research | 2015
Judith A. Blake; Juancarlos Chan; Ranjana Kishore; Paul W. Sternberg; K. Van Auken; Hans-Michael Müller; James Done; Yuling Li
The Gene Ontology (GO; http://www.geneontology.org) is a community-based bioinformatics resource that supplies information about gene product function using ontologies to represent biological knowledge. Here we describe improvements and expansions to several branches of the ontology, as well as updates that have allowed us to more efficiently disseminate the GO and capture feedback from the research community. The Gene Ontology Consortium (GOC) has expanded areas of the ontology such as cilia-related terms, cell-cycle terms and multicellular organism processes. We have also implemented new tools for generating ontology terms based on a set of logical rules making use of templates, and we have made efforts to increase our use of logical definitions. The GOC has a new and improved web site summarizing new developments and documentation, serving as a portal to GO data. Users can perform GO enrichment analysis, and search the GO for terms, annotations to gene products, and associated metadata across multiple species using the all-new AmiGO 2 browser. We encourage and welcome the input of the research community in all biological areas in our continued effort to improve the Gene Ontology.
Nucleic Acids Research | 2004
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 | 2013
Judith A. Blake; Juancarlos Chan; Ranjana Kishore; Paul W. Sternberg; K. Van Auken
The Gene Ontology (GO) Consortium (GOC, http://www.geneontology.org) is a community-based bioinformatics resource that classifies gene product function through the use of structured, controlled vocabularies. Over the past year, the GOC has implemented several processes to increase the quantity, quality and specificity of GO annotations. First, the number of manual, literature-based annotations has grown at an increasing rate. Second, as a result of a new ‘phylogenetic annotation’ process, manually reviewed, homology-based annotations are becoming available for a broad range of species. Third, the quality of GO annotations has been improved through a streamlined process for, and automated quality checks of, GO annotations deposited by different annotation groups. Fourth, the consistency and correctness of the ontology itself has increased by using automated reasoning tools. Finally, the GO has been expanded not only to cover new areas of biology through focused interaction with experts, but also to capture greater specificity in all areas of the ontology using tools for adding new combinatorial terms. The GOC works closely with other ontology developers to support integrated use of terminologies. The GOC supports its user community through the use of e-mail lists, social media and web-based resources.
Nucleic Acids Research | 2010
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
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
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.
Nucleic Acids Research | 2014
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
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.
web science | 2003
Todd W. Harris; Raymond Y. N. Lee; Erich M. Schwarz; Keith Bradnam; Daniel Lawson; Wen Chen; Darin Blasier; Eimear E. Kenny; Fiona Cunningham; Ranjana Kishore; Juancarlos Chan; Hans-Michael Müller; Andrei Petcherski; Gudmundur A. Thorisson; Allen Day; Tamberlyn Bieri; Anthony Rogers; Chao-Kung Chen; John Spieth; Paul W. Sternberg; Richard Durbin; Lincoln Stein
WormBase (http://www.wormbase.org/) is a web-accessible central data repository for information about Caenorhabditis elegans and related nematodes. The past two years have seen a significant expansion in the biological scope of WormBase, including the integration of large-scale, genome-wide data sets, the inclusion of genome sequence and gene predictions from related species and active literature curation. This expansion of data has also driven the development and refinement of user interfaces and operability, including a new Genome Browser, new searches and facilities for data access and the inclusion of extensive documentation. These advances have expanded WormBase beyond the obvious target audience of C. elegans researchers, to include researchers wishing to explore problems in functional and comparative genomics within the context of a powerful genetic system.
Nucleic Acids Research | 2007
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.