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	Provedor de dados Nature Precedings (4) Autor Todd J. Vision (4) Cartik R. Kothari (3) Hilmar Lapp (3) James P. Balhoff (3) Monte Westerfield (3) Paula Mabee (3) Peter E. Midford (3) John G. Lundberg (2) Wasila M. Dahdul (2) Bruce E. Wilson (1) Heather A. Piwowar (1) John Lundberg (1) Nicholas M. Walker (1) Robert B. Cook (1) Robert J. Sandusky (1) Sarah Walker Judson (1) Suzie Allard (1) Valerie Enriquez (1) Wasila Dahdul (1) Mais... Palavra-chave Evolutionary Biology (4) Bioinformatics (3) Earth & Environment (1) Ecology (1) Tipo do documento Manuscript (3) Poster (1) Ano 2010 (3) 2009 (1) País United Kingdom (4)		Ordenar por:  Relevância Autor Título Ano Registros recuperados: 4 Primeira ... 1 ... Última 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 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 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 Data citation in the wild Nature Precedings Valerie Enriquez; Sarah Walker Judson; Nicholas M. Walker; Suzie Allard; Robert B. Cook; Heather A. Piwowar; Robert J. Sandusky; Todd J. Vision; Bruce E. Wilson. Consistent attribution of research data upon reuse is necessary to reward the original data-producing investigators, reconstruct provenance, and inform data sharing policies, tool requirements, and funding decisions. Unfortunately, norms for data attribution are varied and often weak. As part of the DataONE 2010 summer internship program, three interns studied the policies, practice, and implications of current data attribution behavior in the environmental sciences. We found that few policies recommend robust data citation practices: in our preliminary evaluation, only one-third of repositories (n=26), 6% of journals (n=307), and 1 of 53 funders suggested a best practice for data citation. We manually reviewed 500 papers published between 2000 and... Tipo: Poster Palavras-chave: Ecology; Earth & Environment; Evolutionary Biology. Ano: 2010 URL: http://precedings.nature.com/documents/5452/version/1 Registros recuperados: 4 Primeira ... 1 ... Última

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