Journal article

Bastion6: a bioinformatics approach for accurate prediction of type VI secreted effectors

Jiawei Wang, Bingjiao Yang, Andre Leier, Tatiana T Marquez-Lago, Morihiro Hayashida, Andrea Rocker, Yanju Zhang, Tatsuya Akutsu, Kuo-Chen Chou, Richard A Strugnell, Jiangning Song, Trevor Lithgow

Bioinformatics | OXFORD UNIV PRESS | Published : 2018

University of Melbourne Researchers

Grants

Awarded by National Health and Medical Research Council of Australia (NHMRC)


Awarded by National Institute of Allergy and Infectious Diseases of the National Institutes of Health


Awarded by Natural Science Foundation of Guangxi


Funding Acknowledgements

This work was supported by grants from the National Health and Medical Research Council of Australia (NHMRC) (1092262), the Australian Research Council (ARC), the National Institute of Allergy and Infectious Diseases of the National Institutes of Health (R01 AI111965) and the Natural Science Foundation of Guangxi Under No. 2016GXNSFCA380005. AL and TML were supported by informatics startup packages through the UAB School of Medicine. T.L. is an ARC Australian Laureate Fellow (FL130100038).