Trevor Lithgow
Orcid: 0000-0002-0102-7884
According to our database1,
Trevor Lithgow
authored at least 15 papers
between 2010 and 2021.
Collaborative distances:
Collaborative distances:
Timeline
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Online presence:
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on zbmath.org
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on orcid.org
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Bibliography
2021
BastionHub: a universal platform for integrating and analyzing substrates secreted by Gram-negative bacteria.
Nucleic Acids Res., 2021
AcrHub: an integrative hub for investigating, predicting and mapping anti-CRISPR proteins.
Nucleic Acids Res., 2021
Nucleic Acids Res., 2021
DeepVF: a deep learning-based hybrid framework for identifying virulence factors using the stacking strategy.
Briefings Bioinform., 2021
2020
Nucleic Acids Res., 2020
PeNGaRoo, a combined gradient boosting and ensemble learning framework for predicting non-classical secreted proteins.
Bioinform., 2020
2019
BMC Bioinform., 2019
Bioinform., 2019
Systematic analysis and prediction of type IV secreted effector proteins by machine learning approaches.
Briefings Bioinform., 2019
Twenty years of bioinformatics research for protease-specific substrate and cleavage site prediction: a comprehensive revisit and benchmarking of existing methods.
Briefings Bioinform., 2019
2018
Bastion6: a bioinformatics approach for accurate prediction of type VI secreted effectors.
Bioinform., 2018
Quokka: a comprehensive tool for rapid and accurate prediction of kinase family-specific phosphorylation sites in the human proteome.
Bioinform., 2018
Comprehensive assessment and performance improvement of effector protein predictors for bacterial secretion systems III, IV and VI.
Briefings Bioinform., 2018
2017
POSSUM: a bioinformatics toolkit for generating numerical sequence feature descriptors based on PSSM profiles.
Bioinform., 2017
2010