Computational approach to predict species-specific type III secretion system (T3SS) effectors using single and multiple genomes
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Title
Computational approach to predict species-specific type III secretion system (T3SS) effectors using single and multiple genomes
Authors
Keywords
Machine learning, Type III secretion system, Effector prediction, Gram-negative bacteria
Journal
BMC GENOMICS
Volume 17, Issue 1, Pages -
Publisher
Springer Nature
Online
2016-12-20
DOI
10.1186/s12864-016-3363-1
References
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Related references
Note: Only part of the references are listed.- Correction: Prediction of Type III Secretion Signals in Genomes of Gram-Negative Bacteria
- (2014) Martin Löwer et al. PLoS One
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- Targeting effectors: the molecular recognition of Type III secreted proteins
- (2010) Roland Arnold et al. MICROBES AND INFECTION
- Shigella type III secretion effectors: how, where, when, for what purposes?
- (2009) Claude Parsot CURRENT OPINION IN MICROBIOLOGY
- Accurate Prediction of Secreted Substrates and Identification of a Conserved Putative Secretion Signal for Type III Secretion Systems
- (2009) Ram Samudrala et al. PLoS Pathogens
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