Zobrazeno 1 - 10
of 362
pro vyhledávání: '"Thessen A"'
Autor:
Clarke, Jennifer L., Cooper, Laurel D., Poelchau, Monica F., Berardini, Tanya Z., Elser, Justin, Farmer, Andrew D., Ficklin, Stephen, Kumari, Sunita, Laporte, Marie-Angélique, Nelson, Rex T., Sadohara, Rie, Selby, Peter, Thessen, Anne E., Whitehead, Brandon, Sen, Taner Z.
Over the last several decades, there has been rapid growth in the number and scope of agricultural genetics, genomics and breeding (GGB) databases and resources. The AgBioData Consortium (https://www.agbiodata.org/) currently represents 44 databases
Externí odkaz:
http://arxiv.org/abs/2307.08958
Autor:
Caufield, J Harry, Putman, Tim, Schaper, Kevin, Unni, Deepak R, Hegde, Harshad, Callahan, Tiffany J, Cappelletti, Luca, Moxon, Sierra AT, Ravanmehr, Vida, Carbon, Seth, Chan, Lauren E, Cortes, Katherina, Shefchek, Kent A, Elsarboukh, Glass, Balhoff, James P, Fontana, Tommaso, Matentzoglu, Nicolas, Bruskiewich, Richard M, Thessen, Anne E, Harris, Nomi L, Munoz-Torres, Monica C, Haendel, Melissa A, Robinson, Peter N, Joachimiak, Marcin P, Mungall, Christopher J, Reese, Justin T
Knowledge graphs (KGs) are a powerful approach for integrating heterogeneous data and making inferences in biology and many other domains, but a coherent solution for constructing, exchanging, and facilitating the downstream use of knowledge graphs i
Externí odkaz:
http://arxiv.org/abs/2302.10800
Autor:
Unni, Deepak R., Moxon, Sierra A. T., Bada, Michael, Brush, Matthew, Bruskiewich, Richard, Clemons, Paul, Dancik, Vlado, Dumontier, Michel, Fecho, Karamarie, Glusman, Gustavo, Hadlock, Jennifer J., Harris, Nomi L., Joshi, Arpita, Putman, Tim, Qin, Guangrong, Ramsey, Stephen A., Shefchek, Kent A., Solbrig, Harold, Soman, Karthik, Thessen, Anne T., Haendel, Melissa A., Bizon, Chris, Mungall, Christopher J., Consortium, the Biomedical Data Translator
Within clinical, biomedical, and translational science, an increasing number of projects are adopting graphs for knowledge representation. Graph-based data models elucidate the interconnectedness between core biomedical concepts, enable data structur
Externí odkaz:
http://arxiv.org/abs/2203.13906
Autor:
Matentzoglu, Nicolas, Balhoff, James P., Bello, Susan M., Bizon, Chris, Brush, Matthew, Callahan, Tiffany J., Chute, Christopher G, Duncan, William D., Evelo, Chris T., Gabriel, Davera, Graybeal, John, Gray, Alasdair, Gyori, Benjamin M., Haendel, Melissa, Harmse, Henriette, Harris, Nomi L., Harrow, Ian, Hegde, Harshad, Hoyt, Amelia L., Hoyt, Charles T., Jiao, Dazhi, Jiménez-Ruiz, Ernesto, Jupp, Simon, Kim, Hyeongsik, Koehler, Sebastian, Liener, Thomas, Long, Qinqin, Malone, James, McLaughlin, James A., McMurry, Julie A., Moxon, Sierra, Munoz-Torres, Monica C., Osumi-Sutherland, David, Overton, James A., Peters, Bjoern, Putman, Tim, Queralt-Rosinach, Núria, Shefchek, Kent, Solbrig, Harold, Thessen, Anne, Tudorache, Tania, Vasilevsky, Nicole, Wagner, Alex H., Mungall, Christopher J.
Despite progress in the development of standards for describing and exchanging scientific information, the lack of easy-to-use standards for mapping between different representations of the same or similar objects in different databases poses a major
Externí odkaz:
http://arxiv.org/abs/2112.07051
Autor:
Sara J. C. Gosline, Doo Nam Kim, Paritosh Pande, Dennis G. Thomas, Lisa Truong, Peter Hoffman, Michael Barton, Joseph Loftus, Addy Moran, Shawn Hampton, Scott Dowson, Lyndsey Franklin, David Degnan, Lindsey Anderson, Anne Thessen, Robyn L. Tanguay, Kim A. Anderson, Katrina M. Waters
Publikováno v:
Scientific Data, Vol 10, Iss 1, Pp 1-11 (2023)
Abstract The OSU/PNNL Superfund Research Program (SRP) represents a longstanding collaboration to quantify Polycyclic Aromatic Hydrocarbons (PAHs) at various superfund sites in the Pacific Northwest and assess their potential impact on human health.
Externí odkaz:
https://doaj.org/article/0bb0704db9f44ce08043f8023ed7cfcf
Autor:
Lauren E. Chan, Anne E. Thessen, William D. Duncan, Nicolas Matentzoglu, Charles Schmitt, Cynthia J. Grondin, Nicole Vasilevsky, Julie A. McMurry, Peter N. Robinson, Christopher J. Mungall, Melissa A. Haendel
Publikováno v:
Journal of Biomedical Semantics, Vol 14, Iss 1, Pp 1-12 (2023)
Abstract Background Evaluating the impact of environmental exposures on organism health is a key goal of modern biomedicine and is critically important in an age of greater pollution and chemicals in our environment. Environmental health utilizes man
Externí odkaz:
https://doaj.org/article/4d854f6d4a15453d96f678a86e9c0e6b
Autor:
Anne E. Thessen, Laurel Cooper, Tyson L. Swetnam, Harshad Hegde, Justin Reese, Justin Elser, Pankaj Jaiswal
Publikováno v:
Frontiers in Artificial Intelligence, Vol 6 (2023)
IntroductionClimate change is already affecting ecosystems around the world and forcing us to adapt to meet societal needs. The speed with which climate change is progressing necessitates a massive scaling up of the number of species with understood
Externí odkaz:
https://doaj.org/article/5febee46c3b64f6ab16ef7a55ec52035
Autor:
Deepak R. Unni, Sierra A. T. Moxon, Michael Bada, Matthew Brush, Richard Bruskiewich, J. Harry Caufield, Paul A. Clemons, Vlado Dancik, Michel Dumontier, Karamarie Fecho, Gustavo Glusman, Jennifer J. Hadlock, Nomi L. Harris, Arpita Joshi, Tim Putman, Guangrong Qin, Stephen A. Ramsey, Kent A. Shefchek, Harold Solbrig, Karthik Soman, Anne E. Thessen, Melissa A. Haendel, Chris Bizon, Christopher J. Mungall, The Biomedical Data Translator Consortium
Publikováno v:
Clinical and Translational Science, Vol 15, Iss 8, Pp 1848-1855 (2022)
Abstract Within clinical, biomedical, and translational science, an increasing number of projects are adopting graphs for knowledge representation. Graph‐based data models elucidate the interconnectedness among core biomedical concepts, enable data
Externí odkaz:
https://doaj.org/article/51789557b3144741819afc43c3755e97
Autor:
Karamarie Fecho, Anne E. Thessen, Sergio E. Baranzini, Chris Bizon, Jennifer J. Hadlock, Sui Huang, Ryan T. Roper, Noel Southall, Casey Ta, Paul B. Watkins, Mark D. Williams, Hao Xu, William Byrd, Vlado Dančík, Marc P. Duby, Michel Dumontier, Gustavo Glusman, Nomi L. Harris, Eugene W. Hinderer, Greg Hyde, Adam Johs, Andrew I. Su, Guangrong Qin, Qian Zhu, The Biomedical Data Translator Consortium
Publikováno v:
Clinical and Translational Science, Vol 15, Iss 8, Pp 1838-1847 (2022)
Abstract Clinical, biomedical, and translational science has reached an inflection point in the breadth and diversity of available data and the potential impact of such data to improve human health and well‐being. However, the data are often siloed
Externí odkaz:
https://doaj.org/article/e60f6adb4b8840dba0f6a5708823c0c0
Autor:
Karamarie Fecho, Chris Bizon, Tursynay Issabekova, Sierra Moxon, Anne E. Thessen, Shervin Abdollahi, Sergio E. Baranzini, Basazin Belhu, William E. Byrd, Lawrence Chung, Andrew Crouse, Marc P. Duby, Stephen Ferguson, Aleksandra Foksinska, Laura Forero, Jennifer Friedman, Vicki Gardner, Gwênlyn Glusman, Jennifer Hadlock, Kristina Hanspers, Eugene Hinderer, Charlotte Hobbs, Gregory Hyde, Sui Huang, David Koslicki, Philip Mease, Sandrine Muller, Christopher J. Mungall, Stephen A. Ramsey, Jared Roach, Irit Rubin, Shepherd H. Schurman, Anath Shalev, Brett Smith, Karthik Soman, Sarah Stemann, Andrew I. Su, Casey Ta, Paul B. Watkins, Mark D. Williams, Chunlei Wu, Colleen H. Xu, The Biomedical Data Translator Consortium
Publikováno v:
Journal of Clinical and Translational Science, Vol 7 (2023)
Knowledge graphs have become a common approach for knowledge representation. Yet, the application of graph methodology is elusive due to the sheer number and complexity of knowledge sources. In addition, semantic incompatibilities hinder efforts to h
Externí odkaz:
https://doaj.org/article/8d108ce3ebbb408b85a7a73670319e07