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The Teleost Taxonomy Ontology Nature Precedings
Peter E. Midford; James P. Balhoff; Wasila Dahdul; Cartik R. Kothari; Hilmar Lapp; John Lundberg; Paula Mabee; Todd J. Vision; Monte Westerfield.
The Teleost Taxonomy Ontology (TTO) is an ontology of taxonomic groups and associated names for fish (not just teleosts). This ontology has served as a source of names and taxonomic structure within the Phenoscape project since early 2008. Although the TTO is based on Eschmeyer's Catalog of Fishes (CoF) and incorporates all valid species and genus names, it is also extended by the curation needs of the Phenoscape project. Names of fossil taxa not included in the CoF as well as references to specimens identied only to genus (e.g., _Eigenmannia sp._ (Fink and Fink 1981)) are incorporated into the TTO as required by the curation needs of the Phenoscape project. As Phenoscape receives updates to the CoF, a tool called TTOUpdate merges the...
Tipo: Manuscript Palavras-chave: Bioinformatics; Evolutionary Biology.
Ano: 2010 URL: http://precedings.nature.com/documents/4629/version/1
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Phenex: Ontological Annotation of Phenotypic Diversity Nature Precedings
James P. Balhoff; Wasila M. Dahdul; Cartik R. Kothari; Hilmar Lapp; John G. Lundberg; Paula Mabee; Peter E. Midford; Monte Westerfield; Todd J. Vision.
Phenotypic differences among species have long been systematically itemized and described by biologists in the process of investigating phylogenetic relationships and trait evolution. Traditionally, these descriptions have been expressed in natural language within the context of individual journal publications or monographs. Thus, this rich store of phenotype data has been largely unavailable for statistical and computational comparisons across studies or integration with other biological knowledge.
Here we describe Phenex, a platform-independent desktop application designed to facilitate efficient and consistent annotation of phenotypic similarities and differences using Entity-Quality syntax, drawing on terms from community ontologies...
Tipo: Manuscript Palavras-chave: Bioinformatics; Evolutionary Biology.
Ano: 2009 URL: http://precedings.nature.com/documents/4068/version/1
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EvoIO: Community-driven standards for sustainable interoperability Nature Precedings
Arlin Stoltzfus; Karen Cranston; Hilmar Lapp; Sheldon McKay; Enrico Pontelli; Rutger Vos; Nico Cellinese.
Interoperability is the property that allows systems to work together independent of who created them, or how or for what purpose they were implemented. It is crucial for aggregating data from different online resources and for integrating different kinds of data. Interoperability is based on effective standards that become and remain broadly adopted. We argue that to develop and apply such standards for evolutionary and biodiversity data sustainably, we need a community-driven, open, and participatory approach. With the goal to build such an approach, the EvoIO collaboration emerged in 2009 from several NESCent-sponsored activities. EvoIO aims to be a nucleating center for developing, applying and disseminating interoperability technology that connects...
Tipo: Manuscript Palavras-chave: Bioinformatics; Evolutionary Biology.
Ano: 2010 URL: http://precedings.nature.com/documents/4588/version/1
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TreeBASE2: Rise of the Machines Nature Precedings
Rutger A. Vos; Hilmar Lapp; William H. Piel; Val Tannen.
TreeBASE is a public repository of peer-reviewed phylogenetic knowledge. Researchers submit their results to TreeBASE when they are writing a manuscript based on them for publication in a suitable journal. The submitted data are assigned permanent, unique identifiers and web addresses that authors can refer to in their article. Anyone can locate and access the data once the study has been published by TreeBASE and by the targeted journal.

A prototype of this system has served the phylogenetics community well for a number of years, accumulating the results of thousands of studies. The usage model was that of a silo where data could only be accessed through a web browser, and only be downloaded in representations that...
Tipo: Manuscript Palavras-chave: Bioinformatics; Evolutionary Biology.
Ano: 2010 URL: http://precedings.nature.com/documents/4600/version/1
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Comparative methods in R hackathon Nature Precedings
Brian O'Meara; Michael Alfaro; Charles Bell; Benjamin Bolker; Marguerite Butler; Peter Cowan; Damien de Vienne; Richard Desper; Joseph Felsenstein; Luke Harmon; Christoph Heibl; Andrew Hipp; Gene Hunt; Thibaut Jombart; Steve Kembel; Hilmar Lapp; Scott Loarie; Wayne Maddison; Peter Midford; David Orme; Emmanuel Paradis; Sam Price; Dan Rabosky; Brian Sidlauskas; Stacey Smith; Dave Swofford; Todd Vision; Peter Waddell; Amy Zanne; Derrick Zwickl.
The R statistical analysis package has emerged as a popular platform for implementation of powerful comparative methods to understand the evolution of organismal traits and diversification. A hackathon was organized to bring together active R developers as well as end-users working on the integration of comparative phylogenetic methods within R to actively address issues of data exchange standards, code interoperability, usability, documentation quality, and the breadth of functionality for comparative methods available within R. Outcomes included a new base package for phylogenetic trees and data, a public wiki with tutorials and overviews of existing packages, code to allow Mesquite and R to interact, improvement of existing packages, and increased...
Tipo: Poster Palavras-chave: Ecology; Bioinformatics.
Ano: 2008 URL: http://precedings.nature.com/documents/2126/version/1
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Phenex: Ontological Annotation of Phenotypic Diversity Nature Precedings
James P. Balhoff; Wasila M. Dahdul; Cartik R. Kothari; Hilmar Lapp; John G. Lundberg; Paula Mabee; Peter E. Midford; Monte Westerfield; Todd J. Vision.
Phenex is a platform-independent desktop application designed to facilitate efficient and consistent annotation of phenotypic variation using Entity-Quality syntax, drawing on terms from community ontologies for anatomical entities, phenotypic qualities, and taxonomic names. Despite the centrality of the phenotype to so much of biology, traditions for communicating information about phenotypes are idiosyncratic to different disciplines. Phenotypes seem to elude standardized descriptions due to the variety of traits that compose them and the difficulty of capturing the complex forms and subtle differences among organisms that we can readily observe. Consequently, phenotypes are refractory to attempts at data integration that would allow computational...
Tipo: Manuscript Palavras-chave: Bioinformatics; Evolutionary Biology.
Ano: 2010 URL: http://precedings.nature.com/documents/4636/version/1
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Phenoscape: Ontologies for Large Multi-species Phenotype Datasets Nature Precedings
Peter Midford; Paula Mabee; Todd Vision; Hilmar Lapp; Jim Balhoff; Wasila Dahdul; Cartik Kothari; John Lundberg; Monte Westerfield.
The Phenoscape project is developing ontologies and tools to integrate morphological and genomic data to address comparative questions in evolutionary biology. We are currently curating 81 publications describing ~5000 phenotypic characters in 4,000 species of Ostariophysian fishes, and will be making our database of ontology-based annotations concurrently with this meeting via a web-based interface at "http://kb.phenoscape.org":http://kb.phenoscape.org.
Tipo: Poster Palavras-chave: Bioinformatics; Evolutionary Biology.
Ano: 2009 URL: http://precedings.nature.com/documents/3594/version/1
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Persistent BioPerl Nature Precedings
Hilmar Lapp.
I present BioSQL, a generic and highly extensible relational model for storing biological sequences, sequence clusters, genes, sequence features, sequence and feature annotation, and ontology terms. BioSQL also represents the interoperable persistence API among the Bio* life science programming toolkits (BioPerl, Biojava, Biopython, BioRuby), each of which has a language-binding to the BioSQL schema. I specifically present the Bioperl-db software, which in a transparent manner makes BioPerl objects persistent using BioSQL.
Tipo: Presentation Palavras-chave: Bioinformatics.
Ano: 2007 URL: http://precedings.nature.com/documents/1233/version/1
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