| GlycoMine: a machine learning-based approach for predicting N-, C-and O-linked glycosylation in the human proteome F Li*, C Li*, M Wang, GI Webb, Y Zhang, JC Whisstock, J Song Bioinformatics 31 (9), 1411-1419, 2015 | 160 | 2015 |
| A subset of HLA-I peptides are not genomically templated: Evidence for cis-and trans-spliced peptide ligands P Faridi, C Li, SH Ramarathinam, JP Vivian, PT Illing, NA Mifsud, R Ayala, ... Science immunology 3 (28), eaar3947, 2018 | 141 | 2018 |
| Quokka: a comprehensive tool for rapid and accurate prediction of kinase family-specific phosphorylation sites in the human proteome F Li, C Li, TT Marquez-Lago, A Leier, T Akutsu, AW Purcell, AI Smith, ... Bioinformatics 1, 9, 2018 | 136 | 2018 |
| Large-scale comparative assessment of computational predictors for lysine post-translational modification sites Z Chen, X Liu, F Li, C Li, T Marquez-Lago, A Leier, T Akutsu, GI Webb, ... Briefings in bioinformatics 20 (6), 2267-2290, 2019 | 99 | 2019 |
| iLearnPlus: a comprehensive and automated machine-learning platform for nucleic acid and protein sequence analysis, prediction and visualization Z Chen*, P Zhao*, C Li*, F Li, D Xiang, YZ Chen, T Akutsu, RJ Daly, ... Nucleic Acid Research, 2021 | 75 | 2021 |
| Twenty years of bioinformatics research for protease-specific substrate and cleavage site prediction: a comprehensive revisit and benchmarking of existing methods F Li*, Y Wang*, C Li*, TT Marquez-Lago, A Leier, ND Rawlings, G Haffari, ... Briefings in bioinformatics 20 (6), 2150-2166, 2019 | 75 | 2019 |
| GlycoMine struct: a new bioinformatics tool for highly accurate mapping of the human N-linked and O-linked glycoproteomes by incorporating structural features F Li*, C Li*, J Revote, Y Zhang, GI Webb, J Li, J Song, T Lithgow Scientific reports 6 (1), 1-16, 2016 | 70 | 2016 |
| Positive-unlabelled learning of glycosylation sites in the human proteome F Li, Y Zhang, AW Purcell, GI Webb, KC Chou, T Lithgow, C Li*, J Song* BMC bioinformatics 20 (1), 1-17, 2019 | 68 | 2019 |
| OcVFDT: one-class very fast decision tree for one-class classification of data streams C Li, Y Zhang, X Li KDD 2009 Workshop on Knowledge Discovery from Sensor Data, 79-86, 2009 | 65 | 2009 |
| Comprehensive assessment and performance improvement of effector protein predictors for bacterial secretion systems III, IV and VI Y An*, J Wang*, C Li*, A Leier, T Marquez-Lago, J Wilksch, Y Zhang, ... Briefings in bioinformatics 19 (1), 148-161, 2018 | 55 | 2018 |
| Spliced Peptides and Cytokine-Driven Changes in the Immunopeptidome of Melanoma P Faridi, K Woods, S Ostrouska, C Deceneux, R Aranha, D Duscharla, ... Cancer Immunology Research 8 (10), 2020 | 37 | 2020 |
| Regulating polymyxin resistance in Gram-negative bacteria: roles of two-component systems PhoPQ and PmrAB J Huang, C Li, J Song, T Velkov, L Wang, Y Zhu, J Li Future Microbiology 15 (6), 445-459, 2020 | 35 | 2020 |
| SecretEPDB: a comprehensive web-based resource for secreted effector proteins of the bacterial types III, IV and VI secretion systems Y An, J Wang, C Li, J Revote, Y Zhang, T Naderer, M Hayashida, T Akutsu, ... Scientific reports 7 (1), 41031, 2017 | 35 | 2017 |
| SPAR: a random forest-based predictor for self-interacting proteins with fine-grained domain information X Liu, S Yang, C Li, Z Zhang, J Song Amino Acids 48, 1655-1665, 2016 | 31 | 2016 |
| The α-importome of mammalian germ cell maturation provides novel insights for importin biology A Arjomand, MA Baker, C Li, AM Buckle, DA Jans, KL Loveland, ... The FASEB Journal 28 (8), 3480-3493, 2014 | 27 | 2014 |
| PCprophet: a framework for protein complex prediction and differential analysis using proteomic data A Fossati*, C Li*†, F Uliana, F Wendt, F Frommelt, P Sykacek, M Heusel, ... Nature Methods, 2021 | 22 | 2021 |
| Response to Comment on “A subset of HLA-I peptides are not genomically templated: evidence for cis-and trans-spliced peptide ligands” P Faridi, C Li, SH Ramarathinam, PT Illing, NA Mifsud, R Ayala, J Song, ... Science immunology 4 (38), eaaw8457, 2019 | 22 | 2019 |
| Periscope: quantitative prediction of soluble protein expression in the periplasm of Escherichia coli CCH Chang, C Li, GI Webb, BT Tey, J Song, RN Ramanan Scientific reports 6 (1), 1-11, 2016 | 21 | 2016 |
| Critical evaluation of in silico methods for prediction of coiled-coil domains in proteins C Li, C Ching Han Chang, J Nagel, BT Porebski, M Hayashida, T Akutsu, ... Briefings in bioinformatics 17 (2), 270-282, 2016 | 20 | 2016 |
| Computational characterization of parallel dimeric and trimeric coiled-coils using effective amino acid indices C Li, XF Wang, Z Chen, Z Zhang, J Song Molecular BioSystems 11 (2), 354-360, 2015 | 20 | 2015 |
Jiangning (John) SongAssociate Professor, Biomedicine Discovery Institute and Data Futures Institute, Monash UniversityVerified email at monash.edu
