Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Paul M. Frybarger"'
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
Autor:
Seaver Smd, Erik Pearson, José P. Faria, Gary J. Olsen, Olson B, Sarah S. Poon, Jason K. Baumohl, Christopher Bun, Emily M. Dietrich, Pamela C. Ronald, Nathan L. Tintle, Fei He, Paramvir S. Dehal, Marcin P. Joachimiak, Benjamin H. Allen, Thomas Brettin, Benjamin P. Bowen, Folker Meyer, Steven E. Brenner, Holly L. Haun, Shinjae Yoo, Fernando Perez, Matthew DeJongh, R. L. Colasanti, Maulik Shukla, Wolfgang Gerlach, Kevin P. Keegan, Jer Ming Chia, Michael C. Schatz, Taeyun Oh, Dylan Chivian, James Thomason, Sergei Maslov, Roman A. Sutormin, John-Marc Chandonia, Nomi L. Harris, Dan Murphy-Olson, James J. Davis, Hyunseung Yoo, Matthew L. Henderson, Roy T. Kamimura, Shane Canon, Michael W. Sneddon, Christopher S. Henry, Stephen Y. Chan, Pavel S. Novichkov, Inna Dubchak, Mark Mills, Adam P. Arkin, Neal Conrad, Fangfang Xia, Gang Fang, Scott Devoid, Janaka N. Edirisinghe, Brian H. Davison, Bruce Parrello, Shinnosuke Kondo, William J. Riehl, Paul M. Frybarger, Doreen Ware, Miriam Land, Dan Gunter, Rashmi Jain, Rick Stevens, Meghan M Drake, Gavin Price, Shiran Pasternak, Mustafa H Syed, Mark Gerstein, David J. Weston, Sunita Kumari, Kumar, Robert W. Cottingham, Elizabeth M. Glass, James Gurtowski, Aaron A. Best, Daifeng Wang, Srividya Ramakrishnan, Priya Ranjan
The U.S. Department of Energy Systems Biology Knowledgebase (KBase) is an open-source software and data platform designed to meet the grand challenge of systems biology — predicting and designing biological function from the biomolecular (small sca
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a42f71091420946234b6e35b826e316f
https://escholarship.org/uc/item/4058b7v5
https://escholarship.org/uc/item/4058b7v5
Autor:
Christopher S. Henry, Aaron A. Best, Ben Linsay, Matthew DeJongh, Paul M. Frybarger, Rick Stevens
Publikováno v:
Nature Biotechnology. 28:977-982
Genome-scale metabolic models have proven to be valuable for predicting organism phenotypes from genotypes. Yet efforts to develop new models are failing to keep pace with genome sequencing. To address this problem, we introduce the Model SEED, a web
Autor:
Travis McGeehan, Paul M. Frybarger, Matthew DeJongh, Benjamin Bockstege, Joshua Kammeraad, Nicholas Hazekamp
Publikováno v:
Bioinformatics
Summary: CytoSEED is a Cytoscape plugin for viewing, manipulating and analyzing metabolic models created using the Model SEED. The CytoSEED plugin enables users of the Model SEED to create informative visualizations of the reaction networks generated