Julian Zaugg
Julian Zaugg
Bioinformatician / Software Developer, Australian Centre for Ecogenomics, University of Queensland
Verified email at uqconnect.edu.au
Title
Cited by
Cited by
Year
First confirmed detection of SARS-CoV-2 in untreated wastewater in Australia: A proof of concept for the wastewater surveillance of COVID-19 in the community
W Ahmed, N Angel, J Edson, K Bibby, A Bivins, JW O'Brien, PM Choi, ...
Science of The Total Environment, 138764, 2020
232020
Nlsdb—major update for database of nuclear localization signals and nuclear export signals
M Bernhofer, T Goldberg, S Wolf, M Ahmed, J Zaugg, M Boden, B Rost
Nucleic acids research 46 (D1), D503-D508, 2018
152018
Effect of binding on enantioselectivity of epoxide hydrolase
J Zaugg, Y Gumulya, M Bodén, AE Mark, AK Malde
Journal of chemical information and modeling 58 (3), 630-640, 2018
52018
Learning epistatic interactions from sequence-activity data to predict enantioselectivity
J Zaugg, Y Gumulya, AK Malde, M Bodén
Journal of computer-aided molecular design 31 (12), 1085-1096, 2017
42017
Computational tools for directed evolution: a comparison of prospective and retrospective strategies
J Zaugg, Y Gumulya, EMJ Gillam, M Bodén
Directed Evolution Library Creation, 315-333, 2014
42014
Su1204 VARIATIONS OF THE MUCOSA ASSOCIATED MICROBIOTA ALONG THE HUMAN GASTROINTESTINAL TRACT IN HEALTH AND INFLAMMATORY BOWEL DISEASE
A Shah, S Kang, G Tyson, J Zaugg, P Hugenholtz, M Morrison, ...
Gastroenterology 158 (6), S-542, 2020
2020
Goethite Reduction by a Neutrophilic Member of the Alphaproteobacterial Genus Telmatospirillum
EJ Gagen, J Zaugg, GW Tyson, G Southam
Frontiers in Microbiology 10, 2938, 2019
2019
Computational modelling of enzymes: predicting and understanding the selectivity of an epoxide hydrolase
J Zaugg
2019
Identifying and engineering ancient variants of enzymes using Graphical Representation of Ancestral Sequence Predictions (GRASP)
G Foley, A Mora, CM Ross, S Bottoms, L Sutzl, ML Lamprecht, J Zaugg, ...
bioRxiv, 2019
2019
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