Effectorp
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Description
EffectorP is a machine learning method for fungal and oomycete effector prediction in secretomes.
Environment Modules
Run module spider effectorp to find out what environment modules are available for this application.
System Variables
- HPC_EFFECTORP_DIR - installation directory
- HPC_EFFECTORP_BIN - executable directory
- HPC_EFFECTORP_DOC - documentation directory
Citation
If you publish research that uses effectorp you have to cite it as follows:
Sperschneider J, Dodds PN, Gardiner DM, Singh KB, Taylor JM. 2018. Improved prediction of fungal effector proteins from secretomes with EffectorP 2.0. Molecular Plant Pathology, 19(9): 2094-2110. https://doi.org/10.1111/mpp.12682
Sperschneider J, Dodds P. 2021. EffectorP 3.0: prediction of apoplastic and cytoplasmic effectors in fungi and oomycetes. Mol Plant Microbe Interact, 35(2): 145-156. https://doi.org/10.1094/MPMI-08-21-0201-R