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James E. Galagan
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2010 – 2019
- 2019
- [j9]Alberto Santos-Zavaleta
, Heladia Salgado, Socorro Gama-Castro, Mishael Sánchez-Pérez
RegulonDB v 10.5: tackling challenges to unify classic and high throughput knowledge of gene regulation in E. coli K-12. Nucleic Acids Res. 47(Database-Issue): D212-D220 (2019) - 2017
- [j8]Patricia Aquino
Coordinated regulation of acid resistance in Escherichia coli. BMC Syst. Biol. 11(1): 1:1-1:15 (2017) - 2015
- [j7]Christopher Garay
Metabolic modeling predicts metabolite changes in Mycobacterium tuberculosis. BMC Syst. Biol. 9: 57 (2015) - 2014
- [c2]Elham Azizi, Edoardo M. Airoldi, James E. Galagan:
Learning Modular Structures from Network Data and Node Variables. ICML 2014: 1440-1448 - [i1]Elham Azizi, James E. Galagan, Edoardo M. Airoldi:
Learning modular structures from network data and node variables. CoRR abs/1405.2566 (2014) - 2013
- [j6]James E. Galagan
The Mycobacterium tuberculosis regulatory network and hypoxia. Nat. 499(7457): 178-183 (2013) - [j5]Jonathan M. Dreyfuss
Reconstruction and Validation of a Genome-Scale Metabolic Model for the Filamentous Fungus Neurospora crassa Using FARM. PLoS Comput. Biol. 9(7) (2013)
2000 – 2009
- 2009
- [j4]T. B. K. Reddy, Robert Riley
TB database: an integrated platform for tuberculosis research. Nucleic Acids Res. 37(Database-Issue): 499-508 (2009) - [j3]Caroline Colijn, Aaron Brandes, Jeremy Zucker
Interpreting Expression Data with Metabolic Flux Models: Predicting Mycobacterium tuberculosis Mycolic Acid Production. PLoS Comput. Biol. 5(8) (2009) - 2006
- [j2]Reinhard Engels
Combo: a whole genome comparative browser. Bioinform. 22(14): 1782-1783 (2006) - [c1]Jade P. Vinson, David DeCaprio, Matthew D. Pearson, Stacey Luoma, James E. Galagan:
Comparative Gene Prediction using Conditional Random Fields. NIPS 2006: 1441-1448 - 2005
- [j1]Tarjei S. Mikkelsen, James E. Galagan
Improving genome annotations using phylogenetic profile anomaly detection. Bioinform. 21(4): 464-470 (2005)
Coauthor Index
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