Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Amy J, McCaskill"'
Autor:
Amy J. McCaskill, Cory Christensen, Susanne Kjemtrup, Douglas Boyes, Keith R. Davis, Michelle Hylton
Recent high-throughput methods for the analysis of biological samples are raising the possibility of data integration between investigators and even across technology platforms. In plant biology, integration of data can be problematic, since heteroge
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2acb551ff80dc14910eb517994afdd57
https://doi.org/10.1385/1-59259-413-1:427
https://doi.org/10.1385/1-59259-413-1:427
Autor:
Susanne, Kjemtrup, Douglas C, Boyes, Cory, Christensen, Amy J, McCaskill, Michelle, Hylton, Keith, Davis
Publikováno v:
Methods in molecular biology (Clifton, N.J.). 236
Recent high-throughput methods for the analysis of biological samples are raising the possibility of data integration between investigators and even across technology platforms. In plant biology, integration of data can be problematic, since heteroge
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid________::c77b986a397a9692f45c978c5d7bb20a
https://pubmed.ncbi.nlm.nih.gov/14501080
https://pubmed.ncbi.nlm.nih.gov/14501080
Autor:
Jörn Görlach, Keith R. Davis, Douglas Boyes, Adel Zayed, Neil Hoffman, Amy J. McCaskill, Robert Ascenzi
With the completion of the Arabidopsis genome sequencing project, the next major challenge is the large-scale determination of gene function. As a model organism for agricultural biotechnology, Arabidopsis presents the opportunity to provide key insi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9de6b88c6ae4df7696fb95d42579fa82
https://europepmc.org/articles/PMC139543/
https://europepmc.org/articles/PMC139543/
Autor:
Douglas C. Boyes, Adel M. Zayed, Robert Ascenzi, Amy J. McCaskill, Neil E. Hoffman, Keith R. Davis, Jorn Gorlach
Publikováno v:
The Plant Cell. 13:1499
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a3cf7f466584e6b89b2241dd1a5ff327
https://doi.org/10.2307/3871382
https://doi.org/10.2307/3871382