Trevor Lithgow

Latest

• AcrDB: a database of anti-CRISPR operons in prokaryotes and viruses
• AcrHub: an integrative hub for investigating, predicting and mapping anti-CRISPR proteins
• BastionHub: a universal platform for integrating and analyzing substrates secreted by Gram-negative bacteria
• Component Parts of Bacteriophage Virions Accurately Defined by a Machine-Learning Approach Built on Evolutionary Features
• DeepVF: a deep learning-based hybrid framework for identifying virulence factors using the stacking strategy
• Mapping bacterial effector arsenals: in vivo and in silico approaches to defining the protein features dictating effector secretion by bacteria
• PaCRISPR: a server for predicting and visualizing anti-CRISPR proteins
• PeNGaRoo, a combined gradient boosting and ensemble learning framework for predicting non-classical secreted proteins
• The architecture and stabilisation of flagellotropic tailed bacteriophages
• An outbreak of carbapenem-resistant and hypervirulent Klebsiella pneumoniae in an intensive care unit of a major teaching hospital in Wenzhou, China
• Bastion3: a two-layer ensemble predictor of type III secreted effectors
• Systematic analysis and prediction of type IV secreted effector proteins by machine learning approaches
• Bastion6: a bioinformatics approach for accurate prediction of type VI secreted effectors
• Comprehensive assessment and performance improvement of effector protein predictors for bacterial secretion systems III, IV and VI
• POSSUM: a bioinformatics toolkit for generating numerical sequence feature descriptors based on PSSM profiles
• SecretEPDB: a comprehensive web-based resource for secreted effector proteins of the bacterial types III, IV and VI secretion systems