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BMC Bioinformatics|June 28, 2011
PlantPhos: using maximal dependence decomposition to identify plant phosphorylation sites with substrate site specificityTzong-Yi Lee, Neil Arvin Bretaña, Cheng-Tsung Lu
Plos One|November 24, 2011
Incorporating evolutionary information and functional domains for identifying RNA splicing factors in humansJustin Bo-Kai Hsu, Neil Arvin Bretaña, Tzong-Yi Lee, et al.
Journal of Computer-Aided Molecular Design|November 1, 2011
Carboxylator: incorporating solvent-accessible surface area for identifying protein carboxylation sitesCheng-Tsung Lu, Shu-An Chen, Neil Arvin Bretaña, et al.
Bioinformatics (Oxford, England)|May 10, 2011
Exploiting maximal dependence decomposition to identify conserved motifs from a group of aligned signal sequencesTzong-Yi Lee, Zong-Qing Lin, Sheng-Jen Hsieh, et al.
Emerging Infectious Diseases|April 22, 2015
Transmission of Hepatitis C Virus among Prisoners, Australia, 2005-2012Neil Arvin Bretaña, Lies Boelen, Rowena Bull, et al.
Plos One|July 31, 2012
Identifying protein phosphorylation sites with kinase substrate specificity on human virusesNeil Arvin Bretaña, Cheng-Tsung Lu, Chiu-Yun Chiang, et al.
BMC Bioinformatics|March 1, 2012
Investigation and identification of protein γ-glutamyl carboxylation sitesTzong-Yi Lee, Cheng-Tsung Lu, Shu-An Chen, et al.
BMC Bioinformatics|December 19, 2015
A two-layered machine learning method to identify protein O-GlcNAcylation sites with O-GlcNAc transferase substrate motifsHui-Ju Kao, Chien-Hsun Huang, Neil Arvin Bretaña, et al.
Addiction (Abingdon, England)|June 12, 2014
A prospective study of hepatitis C incidence in Australian prisonersFabio Luciani, Neil Arvin Bretaña, Suzy Teutsch, et al.
Plos One|May 17, 2024
Controlling COVID-19 outbreaks in the correctional setting: A mathematical modelling studyNeil Arvin Bretaña, Jisoo A Kwon, Luke Grant, et al.
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