PLOS Computational Biology
Journal
| Title | PLOS Computational Biology |
|---|---|
| ISSN | 1553-734X |
| Publisher | Public Library of Science (PLOS) |
Outputs
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What makes or breaks a campaign to stop an invading plant pathogen?
A - Papers appearing in refereed journals
Milne, A., Gottwald, T., Parnell, S. R., Alonso Chavez, V. and Vandenbosch, F. 2020. What makes or breaks a campaign to stop an invading plant pathogen? PLOS Computational Biology. 16 (2), p. e1007570. https://doi.org/10.1371/journal.pcbi.1007570
A method of determining where to target surveillance efforts in heterogeneous epidemiological systems
A - Papers appearing in refereed journals
Mastin, A. J., Van Den Bosch, F., Gottwald, T. R., Alonso Chavez, V. and Parnell, S. R. 2017. A method of determining where to target surveillance efforts in heterogeneous epidemiological systems. PLOS Computational Biology. 13 (8), p. e1005712. https://doi.org/10.1371/journal.pcbi.1005712
The effect of farmers' decisions on pest control with Bt crops: a billion dollar game of strategy
A - Papers appearing in refereed journals
Milne, A. E., Bell, J. R., Hutchison, W. D., Van Den Bosch, F., Mitchell, P. D., Crowder, D., Parnell, S. and Whitmore, A. P. 2015. The effect of farmers' decisions on pest control with Bt crops: a billion dollar game of strategy. PLOS Computational Biology. 11, p. e1004483. https://doi.org/10.1371/journal.pcbi.1004483
A simple iterative model accurately captures complex trapline formation by bumblebees across spatial scales and flower arrangements
A - Papers appearing in refereed journals
Reynolds, A. M., Lihoreau, M. and Chittka, L. 2013. A simple iterative model accurately captures complex trapline formation by bumblebees across spatial scales and flower arrangements. PLOS Computational Biology. 9, p. e1002938 (10pp). https://doi.org/10.1371/journal.pcbi.1002938
Durable resistance to crop pathogens: an epidemiological framework to predict risk under uncertainty
A - Papers appearing in refereed journals
Lo Iacono, G., Van Den Bosch, F. and Gilligan, C. A. 2013. Durable resistance to crop pathogens: an epidemiological framework to predict risk under uncertainty. PLOS Computational Biology. 9, p. e1002870. https://doi.org/10.1371/journal.pcbi.1002870