Zobrazeno 1 - 10
of 58
pro vyhledávání: '"Carolyn J Lawrence-Dill"'
Autor:
Carolyn J Lawrence-Dill, Robyn L Allscheid, Albert Boaitey, Todd Bauman, Edward S Buckler, Jennifer L Clarke, Christopher Cullis, Jack Dekkers, Cassandra J Dorius, Shawn F Dorius, David Ertl, Matthew Homann, Guiping Hu, Mary Losch, Eric Lyons, Brenda Murdoch, Zahra-Katy Navabi, Somashekhar Punnuri, Fahad Rafiq, James M Reecy, Patrick S Schnable, Nicole M Scott, Moira Sheehan, Xavier Sirault, Margaret Staton, Christopher K Tuggle, Alison Van Eenennaam, Rachael Voas
Publikováno v:
PLoS Computational Biology, Vol 18, Iss 4, p e1009957 (2022)
Externí odkaz:
https://doaj.org/article/2eb504e8a46847f6ac36000aeda5a04f
Crowdsourcing image analysis for plant phenomics to generate ground truth data for machine learning.
Autor:
Naihui Zhou, Zachary D Siegel, Scott Zarecor, Nigel Lee, Darwin A Campbell, Carson M Andorf, Dan Nettleton, Carolyn J Lawrence-Dill, Baskar Ganapathysubramanian, Jonathan W Kelly, Iddo Friedberg
Publikováno v:
PLoS Computational Biology, Vol 14, Iss 7, p e1006337 (2018)
The accuracy of machine learning tasks critically depends on high quality ground truth data. Therefore, in many cases, producing good ground truth data typically involves trained professionals; however, this can be costly in time, effort, and money.
Externí odkaz:
https://doaj.org/article/ad87ca982fb54245825798da5a52f6ce
Autor:
Leila Fattel, Colleen F. Yanarella, Blessing Ngara, Olivia T. Johnson, Darwin A. Campbell, Kokulapalan Wimalanathan, Carolyn J. Lawrence-Dill
Publikováno v:
BMC Research Notes, Vol 17, Iss 1, Pp 1-5 (2024)
Abstract Objectives We annotated the latest published sequences of the 26 Zea mays Nested Association Mapping (NAM) founder lines using GOMAP, the Gene Ontology Meta Annotator for Plants. The maize NAM panel enables researchers to understand and iden
Externí odkaz:
https://doaj.org/article/925544d1a73042b3a78bf84839aa3c31
Autor:
Christopher K. Tuggle, Jennifer L. Clarke, Brenda M. Murdoch, Eric Lyons, Nicole M. Scott, Bedrich Beneš, Jacqueline D. Campbell, Henri Chung, Courtney L. Daigle, Sruti Das Choudhury, Jack C. M. Dekkers, Joao R. R. Dórea, David S. Ertl, Max Feldman, Breno O. Fragomeni, Janet E. Fulton, Carmela R. Guadagno, Darren E. Hagen, Andrew S. Hess, Luke M. Kramer, Carolyn J. Lawrence-Dill, Alexander E. Lipka, Thomas Lübberstedt, Fiona M. McCarthy, Stephanie D. McKay, Seth C. Murray, Penny K. Riggs, Troy N. Rowan, Moira J. Sheehan, Juan P. Steibel, Addie M. Thompson, Kara J. Thornton, Curtis P. Van Tassell, Patrick S. Schnable
Publikováno v:
Genome Biology, Vol 25, Iss 1, Pp 1-19 (2024)
Abstract Dramatic improvements in measuring genetic variation across agriculturally relevant populations (genomics) must be matched by improvements in identifying and measuring relevant trait variation in such populations across many environments (ph
Externí odkaz:
https://doaj.org/article/16775bc608354ceabfd4ba8fddc9415e
Autor:
Colleen F. Yanarella, Leila Fattel, Ásrún Ý. Kristmundsdóttir, Miriam D. Lopez, Jode W. Edwards, Darwin A. Campbell, Craig A. Abel, Carolyn J. Lawrence-Dill
Publikováno v:
BMC Research Notes, Vol 17, Iss 1, Pp 1-5 (2024)
Abstract Objectives Phenotyping plants in a field environment can involve a variety of methods including the use of automated instruments and labor-intensive manual measurement and scoring. Researchers also collect language-based phenotypic descripti
Externí odkaz:
https://doaj.org/article/bba671c2bf4e4e6793f3e381d1969b48
Autor:
Christopher K. Tuggle, Jennifer Clarke, Jack C. M. Dekkers, David Ertl, Carolyn J. Lawrence-Dill, Eric Lyons, Brenda M. Murdoch, Nicole M. Scott, Patrick S. Schnable
Publikováno v:
Genome Biology, Vol 23, Iss 1, Pp 1-11 (2022)
Externí odkaz:
https://doaj.org/article/9639d32910d6461eb1ecb69c85fb1cc7
Publikováno v:
Plant Methods, Vol 17, Iss 1, Pp 1-14 (2021)
Abstract Annotating gene structures and functions to genome assemblies is necessary to make assembly resources useful for biological inference. Gene Ontology (GO) term assignment is the most used functional annotation system, and new methods for GO a
Externí odkaz:
https://doaj.org/article/81ff0f77e6a8435691fe669ffac1563f
Autor:
Diego Jarquin, Natalia de Leon, Cinta Romay, Martin Bohn, Edward S. Buckler, Ignacio Ciampitti, Jode Edwards, David Ertl, Sherry Flint-Garcia, Michael A. Gore, Christopher Graham, Candice N. Hirsch, James B. Holland, David Hooker, Shawn M. Kaeppler, Joseph Knoll, Elizabeth C. Lee, Carolyn J. Lawrence-Dill, Jonathan P. Lynch, Stephen P. Moose, Seth C. Murray, Rebecca Nelson, Torbert Rocheford, James C. Schnable, Patrick S. Schnable, Margaret Smith, Nathan Springer, Peter Thomison, Mitch Tuinstra, Randall J. Wisser, Wenwei Xu, Jianming Yu, Aaron Lorenz
Publikováno v:
Frontiers in Genetics, Vol 11 (2021)
Genomic prediction provides an efficient alternative to conventional phenotypic selection for developing improved cultivars with desirable characteristics. New and improved methods to genomic prediction are continually being developed that attempt to
Externí odkaz:
https://doaj.org/article/1ce0200368274b0f8d7a77c83e0bf731
Autor:
Cyril Pommier, Trevor Garnett, Carolyn J. Lawrence-Dill, Tony Pridmore, Michelle Watt, Roland Pieruschka, Kioumars Ghamkhar
Publikováno v:
Frontiers in Plant Science, Vol 11 (2020)
Externí odkaz:
https://doaj.org/article/cccfb126b3c940f7b4eafe7c6f3a68bd
Publikováno v:
Plant Phenomics, Vol 2020 (2020)
Many newly observed phenotypes are first described, then experimentally manipulated. These language-based descriptions appear in both the literature and in community datastores. To standardize phenotypic descriptions and enable simple data aggregatio
Externí odkaz:
https://doaj.org/article/21bfc25f965a4258af39ba8819274545