Network


Latest external collaboration on country level. Dive into details by clicking on the dots.

Hotspot


Dive into the research topics where Tamberlyn Bieri is active.

Publication


Featured researches published by Tamberlyn Bieri.


Nature | 2003

The male-specific region of the human Y chromosome is a mosaic of discrete sequence classes

Helen Skaletsky; Tomoko Kuroda-Kawaguchi; Patrick Minx; Holland S. Cordum; LaDeana W. Hillier; Laura G. Brown; Sjoerd Repping; Johar Ali; Tamberlyn Bieri; Asif T. Chinwalla; Andrew Delehaunty; Kim D. Delehaunty; Hui Du; Ginger Fewell; Lucinda Fulton; Robert S. Fulton; Tina Graves; Shunfang Hou; Philip Latrielle; Shawn Leonard; Elaine R. Mardis; Rachel Maupin; John D. McPherson; Tracie L. Miner; William E. Nash; Christine Nguyen; Philip Ozersky; Kymberlie H. Pepin; Susan Rock; Tracy Rohlfing

The male-specific region of the Y chromosome, the MSY, differentiates the sexes and comprises 95% of the chromosomes length. Here, we report that the MSY is a mosaic of heterochromatic sequences and three classes of euchromatic sequences: X-transposed, X-degenerate and ampliconic. These classes contain all 156 known transcription units, which include 78 protein-coding genes that collectively encode 27 distinct proteins. The X-transposed sequences exhibit 99% identity to the X chromosome. The X-degenerate sequences are remnants of ancient autosomes from which the modern X and Y chromosomes evolved. The ampliconic class includes large regions (about 30% of the MSY euchromatin) where sequence pairs show greater than 99.9% identity, which is maintained by frequent gene conversion (non-reciprocal transfer). The most prominent features here are eight massive palindromes, at least six of which contain testis genes.


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.


Nature Genetics | 2004

Comparison of genome degradation in Paratyphi A and Typhi, human-restricted serovars of Salmonella enterica that cause typhoid.

Michael McClelland; Kenneth E. Sanderson; Sandra W. Clifton; Phil Latreille; Steffen Porwollik; Aniko Sabo; Rekha Meyer; Tamberlyn Bieri; Phil Ozersky; Michael D. McLellan; C Richard Harkins; Chunyan Wang; Christine Nguyen; Amy Berghoff; Glendoria Elliott; Sara Kohlberg; Cindy Strong; Feiyu Du; Jason Carter; Colin Kremizki; Dan Layman; Shawn Leonard; Hui Sun; Lucinda Fulton; William E. Nash; Tracie L. Miner; Patrick Minx; Kim D. Delehaunty; Catrina C. Fronick; Vincent Magrini

Salmonella enterica serovars often have a broad host range, and some cause both gastrointestinal and systemic disease. But the serovars Paratyphi A and Typhi are restricted to humans and cause only systemic disease. It has been estimated that Typhi arose in the last few thousand years. The sequence and microarray analysis of the Paratyphi A genome indicates that it is similar to the Typhi genome but suggests that it has a more recent evolutionary origin. Both genomes have independently accumulated many pseudogenes among their ∼4,400 protein coding sequences: 173 in Paratyphi A and ∼210 in Typhi. The recent convergence of these two similar genomes on a similar phenotype is subtly reflected in their genotypes: only 30 genes are degraded in both serovars. Nevertheless, these 30 genes include three known to be important in gastroenteritis, which does not occur in these serovars, and four for Salmonella-translocated effectors, which are normally secreted into host cells to subvert host functions. Loss of function also occurs by mutation in different genes in the same pathway (e.g., in chemotaxis and in the production of fimbriae).


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.


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.


web science | 2003

WormBase: a cross-species database for comparative genomics

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

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.


Nucleic Acids Research | 2006

WormBase: better software, richer content

Erich M. Schwarz; Igor Antoshechkin; Carol Bastiani; Tamberlyn Bieri; Darin Blasiar; Payan Canaran; Juancarlos Chan; Nansheng Chen; Wen J. Chen; Paul Davis; Tristan J. Fiedler; Lisa-Christine Girard; Todd W. Harris; Eimear E. Kenny; Ranjana Kishore; Dan Lawson; Raymond Y. N. Lee; Hans-Michael Müller; Cecilia Nakamura; Phil Ozersky; Andrei Petcherski; Anthony Rogers; Will Spooner; Mary Ann Tuli; Kimberly Van Auken; Daniel Wang; Richard Durbin; John Spieth; Lincoln Stein; Paul W. Sternberg

WormBase (), the public database for genomics and biology of Caenorhabditis elegans, has been restructured for stronger performance and expanded for richer biological content. Performance was improved by accelerating the loading of central data pages such as the omnibus Gene page, by rationalizing internal data structures and software for greater portability, and by making the Genome Browser highly customizable in how it views and exports genomic subsequences. Arbitrarily complex, user-specified queries are now possible through Textpresso (for all available literature) and through WormMart (for most genomic data). Biological content was enriched by reconciling all available cDNA and expressed sequence tag data with gene predictions, clarifying single nucleotide polymorphism and RNAi sites, and summarizing known functions for most genes studied in this organism.

Collaboration


Dive into the Tamberlyn Bieri's collaboration.

Top Co-Authors

Avatar

Philip Ozersky

Washington University in St. Louis

View shared research outputs
Top Co-Authors

Avatar

Hans-Michael Müller

California Institute of Technology

View shared research outputs
Top Co-Authors

Avatar

Juancarlos Chan

California Institute of Technology

View shared research outputs
Top Co-Authors

Avatar

Ranjana Kishore

California Institute of Technology

View shared research outputs
Top Co-Authors

Avatar

Raymond Y. N. Lee

California Institute of Technology

View shared research outputs
Top Co-Authors

Avatar

Todd W. Harris

Cold Spring Harbor Laboratory

View shared research outputs
Top Co-Authors

Avatar

Anthony Rogers

Washington University in St. Louis

View shared research outputs
Top Co-Authors

Avatar

Cecilia Nakamura

Washington University in St. Louis

View shared research outputs
Top Co-Authors

Avatar
Top Co-Authors

Avatar

Kimberly Van Auken

California Institute of Technology

View shared research outputs
Researchain Logo
Decentralizing Knowledge