TY - JOUR
T1 - Next-generation phenomics for the Tree of Life
AU - Burleigh, J. Gordon
AU - Alphonse, Kenzley
AU - Alverson, Andrew J.
AU - Bik, Holly M.
AU - Blank, Carrine
AU - Cirranello, Andrea L.
AU - Cui, Hong
AU - Daly, Marymegan
AU - Dietterich, Thomas G.
AU - Gasparich, Gail
AU - Irvine, Jed
AU - Julius, Matthew
AU - Kaufman, Seth
AU - Law, Edith
AU - Liu, Jing
AU - Moore, Lisa
AU - O'Leary, Maureen A.
AU - Passarotti, Maria
AU - Ranade, Sonali
AU - Simmons, Nancy B.
AU - Stevenson, Dennis W.
AU - Thacker, Robert W.
AU - Theriot, Edward C.
AU - Todorovic, Sinisa
AU - Velazco, Paúl M.
AU - Walls, Ramona L.
AU - Wolfe, Joanna M.
AU - Yu, Mengjie
PY - 2013
Y1 - 2013
N2 - The phenotype represents a critical interface between the genome and the environment in which organisms live and evolve. Phenotypic characters also are a rich source of biodiversity data for tree building, and they enable scientists to reconstruct the evolutionary history of organisms, including most fossil taxa, for which genetic data are unavailable. Therefore, phenotypic data are necessary for building a comprehensive Tree of Life. In contrast to recent advances in molecular sequencing, which has become faster and cheaper through recent technological advances, phenotypic data collection remains often prohibitively slow and expensive. The next-generation phenomics project is a collaborative, multidisciplinary effort to leverage advances in image analysis, crowdsourcing, and natural language processing to develop and implement novel approaches for discovering and scoring the phenome, the collection of phentotypic characters for a species. This research represents a new approach to data collection that has the potential to transform phylogenetics research and to enable rapid advances in constructing the Tree of Life. Our goal is to assemble large phenomic datasets built using new methods and to provide the public and scientific community with tools for phenomic data assembly that will enable rapid and automated study of phenotypes across the Tree of Life.
AB - The phenotype represents a critical interface between the genome and the environment in which organisms live and evolve. Phenotypic characters also are a rich source of biodiversity data for tree building, and they enable scientists to reconstruct the evolutionary history of organisms, including most fossil taxa, for which genetic data are unavailable. Therefore, phenotypic data are necessary for building a comprehensive Tree of Life. In contrast to recent advances in molecular sequencing, which has become faster and cheaper through recent technological advances, phenotypic data collection remains often prohibitively slow and expensive. The next-generation phenomics project is a collaborative, multidisciplinary effort to leverage advances in image analysis, crowdsourcing, and natural language processing to develop and implement novel approaches for discovering and scoring the phenome, the collection of phentotypic characters for a species. This research represents a new approach to data collection that has the potential to transform phylogenetics research and to enable rapid advances in constructing the Tree of Life. Our goal is to assemble large phenomic datasets built using new methods and to provide the public and scientific community with tools for phenomic data assembly that will enable rapid and automated study of phenotypes across the Tree of Life.
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U2 - 10.1371/currents.tol.085c713acafc8711b2ff7010a4b03733
DO - 10.1371/currents.tol.085c713acafc8711b2ff7010a4b03733
M3 - Article
C2 - 23827969
AN - SCOPUS:84879769422
SN - 2157-3999
JO - PLoS Currents
JF - PLoS Currents
IS - JUNE
M1 - ecurrents.tol.085c713acafc8711b2ff7010a4b03733
ER -