Zobrazeno 1 - 10
of 19
pro vyhledávání: '"Samuel M. D. Seaver"'
Publikováno v:
PLoS ONE, Vol 10, Iss 5, p e0124501 (2015)
To date, variation in nectar chemistry of flowering plants has not been studied in detail. Such variation exerts considerable influence on pollinator-plant interactions, as well as on flower traits that play important roles in the selection of a plan
Externí odkaz:
https://doaj.org/article/4daae94c8f264d98a7537381e61f9c0c
Publikováno v:
PLoS ONE, Vol 10, Iss 10, p e0141384 (2015)
Externí odkaz:
https://doaj.org/article/76f2c77981b34a58a9622a079a489572
Autor:
Samuel M. D. Seaver, Filipe Liu, Qizhi Zhang, James Jeffryes, José P. Faria, Janaka N. Edirisinghe, Michael Mundy, Nicholas Chia, Elad Noor, Moritz E. Beber, Aaron A. Best, Matthew DeJongh, Jeffrey A. Kimbrel, Patrik D’haeseleer, Erik Pearson, Shane Canon, Elisha M. Wood-Charlson, Robert W. Cottingham, Adam P. Arkin, Christopher S. Henry
Introduction For over ten years, the ModelSEED has been a primary resource for researchers endeavoring to construct draft genome-scale metabolic models based on annotated microbial or plant genomes. As described here, and now being released, the Mode
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6e3a7cd19fc36108c16979fd576a6182
Publikováno v:
PLoS Computational Biology, Vol 8, Iss 11, p e1002762 (2012)
The ability of microbial species to consume compounds found in the environment to generate commercially-valuable products has long been exploited by humanity. The untapped, staggering diversity of microbial organisms offers a wealth of potential reso
Externí odkaz:
https://doaj.org/article/702bec38a82144eea5ea175913fed40f
Autor:
Andrew D. Hanson, Avinash Sreedasyam, Claudia Lerma-Ortiz, Neal Conrad, Arman Mikaili, Samuel M. D. Seaver, Christopher S. Henry
Publikováno v:
The Plant Journal. 95:1102-1113
Genome-scale metabolic reconstructions help us to understand and engineer metabolism. Next-generation sequencing technologies are delivering genomes and transcriptomes for an ever-widening range of plants. While such omic data can, in principle, be u
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::39980c7addf30d1327d32a50370c8036
https://doi.org/10.1111/tpj.14003
https://doi.org/10.1111/tpj.14003
Autor:
Shinjae Yoo, Matthew L. Henderson, Sarah S. Poon, Pavel S. Novichkov, Mark Mills, Roy T. Kamimura, Adam P. Arkin, Rick Stevens, Holly L. Haun, Shinnosuke Kondo, Meghan M Drake, Aaron A. Best, José P. Faria, Fernando Perez, Matthew DeJongh, Gang Fang, Thomas Brettin, Sergei Maslov, Janaka N. Edirisinghe, Folker Meyer, Jer Ming Chia, Scott Devoid, Doreen Ware, Steven E. Brenner, Paul M. Frybarger, Miriam Land, Dan Gunter, Fei He, John-Marc Chandonia, Hyunseung Yoo, Marcin P. Joachimiak, Dantong Yu, Christopher S. Henry, Mark Gerstein, Christopher Bun, Michael W. Sneddon, Samuel M. D. Seaver, Rashmi Jain, Stephen Y. Chan, Robert W. Cottingham, James J. Davis, Annette Greiner, Inna Dubchak, Vivek Kumar, Priya Ranjan, Daifeng Wang, Neal Conrad, James Thomason, Fangfang Xia, Maulik Shukla, Gavin Price, Nathan L. Tintle, Gary J. Olsen, Shiran Pasternak, Shane Canon, Roman A. Sutormin, William J. Riehl, Nomi L. Harris, Dan Murphy-Olson, Jason K. Baumohl, Wolfgang Gerlach, Benjamin H. Allen, Pamela C. Ronald, Michael C. Schatz, Mustafa H Syed, Brian H. Davison, Taeyun Oh, Dylan Chivian, Elizabeth M. Glass, R. L. Colasanti, Erik Pearson, David J. Weston, Sunita Kumari, Kevin P. Keegan, Emily M. Dietrich, Robert Olson, Srividya Ramakrishnan, James Gurtowski, Benjamin P. Bowen, Paramvir S. Dehal, Bruce Parrello
Publikováno v:
Nature biotechnology, vol 36, iss 7
Nature Biotechnology
Arkin, AP; Cottingham, RW; Henry, CS; Harris, NL; Stevens, RL; Maslov, S; et al.(2018). KBase: The United States department of energy systems biology knowledgebase. Nature Biotechnology, 36(7), 566-569. doi: 10.1038/nbt.4163. Lawrence Berkeley National Laboratory: Retrieved from: http://www.escholarship.org/uc/item/7p39r37f
Nature Biotechnology
Arkin, AP; Cottingham, RW; Henry, CS; Harris, NL; Stevens, RL; Maslov, S; et al.(2018). KBase: The United States department of energy systems biology knowledgebase. Nature Biotechnology, 36(7), 566-569. doi: 10.1038/nbt.4163. Lawrence Berkeley National Laboratory: Retrieved from: http://www.escholarship.org/uc/item/7p39r37f
Author(s): Arkin, Adam P; Cottingham, Robert W; Henry, Christopher S; Harris, Nomi L; Stevens, Rick L; Maslov, Sergei; Dehal, Paramvir; Ware, Doreen; Perez, Fernando; Canon, Shane; Sneddon, Michael W; Henderson, Matthew L; Riehl, William J; Murphy-Ol
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c789b3716f923398ce5518911fb65ab7
https://doi.org/10.1038/nbt.4163
https://doi.org/10.1038/nbt.4163
Autor:
Priya Ranjan, Shane Canon, William Riel, Zhenyuan Lu, Sunita Kumari, Marcin P. Joachimiak, Paramvir S. Dehal, Vivek Kumar, Samuel M. D. Seaver, Adam P. Arkin, Claudia Lerma-Ortiz, Eric Pearson, Kathleen Beilsmith, Filipe Liu, Doreen Ware, Tian Gu, Christopher S. Henry
Publikováno v:
Current Plant Biology, Vol 28, Iss, Pp 100229-(2021)
A better understanding of the genetic and metabolic mechanisms that confer stress resistance and tolerance in plants is key to engineering new crops through advanced breeding technologies. This requires a systems biology approach that builds on a gen
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::105fa9f800a663c4db16fd28c14aac2b
https://doi.org/10.1016/j.cpb.2021.100229
https://doi.org/10.1016/j.cpb.2021.100229
Autor:
Qizhi Zhang, Nicholas Chia, Michael B. Mundy, Patrik D'haeseleer, Christopher S. Henry, Aaron A. Best, Erik Pearson, Matthew DeJongh, Shane Canon, Janaka N. Edirisinghe, Filipe Liu, Robert W. Cottingham, Jeffrey A. Kimbrel, Moritz Emanuel Beber, José P. Faria, Elad Noor, Sean R. McCorkle, Samuel M. D. Seaver, Elisha M. Wood-Charlson, James G. Jeffryes, Adam P. Arkin, Jay R. Bolton
Publikováno v:
Nucleic Acids Research
Nucleic acids research, vol 49, iss D1
Seaver, S M D, Liu, F, Zhang, Q, Jeffryes, J, Faria, J P, Edirisinghe, J N, Mundy, M, Chia, N, Noor, E, Beber, M E, Best, A A, DeJongh, M, Kimbrel, J A, D'haeseleer, P, McCorkle, S R, Bolton, J R, Pearson, E, Canon, S, Wood-Charlson, E M, Cottingham, R W, Arkin, A P & Henry, C S 2021, ' The ModelSEED Biochemistry Database for the integration of metabolic annotations and the reconstruction, comparison and analysis of metabolic models for plants, fungi and microbes ', Nucleic Acids Research, vol. 49, no. D1, pp. D575–D588 . https://doi.org/10.1093/nar/gkaa746
Nucleic Acids Research, 49 (D1)
Nucleic acids research, vol 49, iss D1
Seaver, S M D, Liu, F, Zhang, Q, Jeffryes, J, Faria, J P, Edirisinghe, J N, Mundy, M, Chia, N, Noor, E, Beber, M E, Best, A A, DeJongh, M, Kimbrel, J A, D'haeseleer, P, McCorkle, S R, Bolton, J R, Pearson, E, Canon, S, Wood-Charlson, E M, Cottingham, R W, Arkin, A P & Henry, C S 2021, ' The ModelSEED Biochemistry Database for the integration of metabolic annotations and the reconstruction, comparison and analysis of metabolic models for plants, fungi and microbes ', Nucleic Acids Research, vol. 49, no. D1, pp. D575–D588 . https://doi.org/10.1093/nar/gkaa746
Nucleic Acids Research, 49 (D1)
For over 10 years, ModelSEED has been a primary resource for the construction of draft genome-scale metabolic models based on annotated microbial or plant genomes. Now being released, the biochemistry database serves as the foundation of biochemical
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3fd8a6e25516618d1c79a6007397d081
http://europepmc.org/articles/PMC7778962
http://europepmc.org/articles/PMC7778962
Publikováno v:
Methods in Molecular Biology ISBN: 9781493978182
In the last decade, plant genome-scale modeling has developed rapidly and modeling efforts have advanced from representing metabolic behavior of plant heterotrophic cell suspensions to studying the complex interplay of cell types, tissues, and organs
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cbe0851296c166a280c2b5815c37b73f
https://doi.org/10.1007/978-1-4939-7819-9_21
https://doi.org/10.1007/978-1-4939-7819-9_21
Publikováno v:
Plant science : an international journal of experimental plant biology. 273
The vast diversity of plant natural products is a powerful indication of the biosynthetic capacity of plant metabolism. Synthetic biology seeks to capitalize on this ability by understanding and reconfiguring the biosynthetic pathways that generate t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::62d7a65e8afc1c9d749f60ae4fb23b99
https://pubmed.ncbi.nlm.nih.gov/29907310
https://pubmed.ncbi.nlm.nih.gov/29907310