Annotation of theGiardiaproteome through structure-based homology and machine learning

Author:

Ansell Brendan R E1ORCID,Pope Bernard J2345,Georgeson Peter234,Emery-Corbin Samantha J1,Jex Aaron R16

Affiliation:

1. Population Health and Immunity Division, Walter & Eliza Hall Institute of Medical Research, 1G Royal Pde, Parkville, VIC 3052, Australia

2. Melbourne Bioinformatics, 187 Grattan St, University of Melbourne, VIC 3010, Australia

3. Centre for Cancer Research, Victorian Comprehensive Cancer Centre, 305 Grattan St, Melbourne, VIC 3000, Australia

4. Department of Clinical Pathology, University of Melbourne, 305 Grattan St, Melbourne, VIC 3000, Australia

5. Department of Medicine, Central Clinical School, Monash University, 99 Commercial Rd, Melbourne, VIC 3004, Australia

6. Faculty of Veterinary and Agricultural Sciences, Cnr Park Drive & Flemington Rd, University of Melbourne, VIC 3010, Australia

Funder

Australian Post-Graduate Award

Jack Brockhoff Foundation

Australian Research Council

Victorian State Government

Publisher

Oxford University Press (OUP)

Subject

Computer Science Applications,Health Informatics

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