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ApoplastP: prediction of effectors and plant proteins in the apoplast using machine learning
Jana Sperschneider, Peter N. Dodds, Karam B. Singh, Jennifer M. Taylor
doi: https://doi.org/10.1101/182428
Jana Sperschneider
1Centre for Environment and Life Sciences, CSIRO Agriculture and Food, Perth, WA, Australia
Peter N. Dodds
2Black Mountain Laboratories, CSIRO Agriculture and Food, Canberra, ACT, Australia
Karam B. Singh
1Centre for Environment and Life Sciences, CSIRO Agriculture and Food, Perth, WA, Australia
3Centre for Crop and Disease Management, Department of Environment and Agriculture, Curtin University, Bentley, Western Australia, Australia
Jennifer M. Taylor
2Black Mountain Laboratories, CSIRO Agriculture and Food, Canberra, ACT, Australia
Article usage
Posted August 30, 2017.
ApoplastP: prediction of effectors and plant proteins in the apoplast using machine learning
Jana Sperschneider, Peter N. Dodds, Karam B. Singh, Jennifer M. Taylor
bioRxiv 182428; doi: https://doi.org/10.1101/182428
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