Instructions Output format Data Software

EffectorP: predicting fungal effector proteins from secretomes using machine learning


Introduction

EffectorP is a machine learning method for fungal effector prediction in secretomes. EffectorP has been trained to distinguish secreted proteins from secreted effectors in plant-pathogenic fungi.



Submission

To run EffectorP, please submit your secreted fungal proteins of interest below. For online submission, the maximum number of protein sequences that can be submitted is 4000. If you want to run EffectorP on your local machine, you can download the current version here.







EffectorP 1.0
EffectorP 2.0 beta




Citation

  • Sperschneider J, Gardiner DM, Dodds PN, Tini F, Covarelli L, Singh KB, Manners JM, Taylor JM (2015) EffectorP: Predicting Fungal Effector Proteins from Secretomes Using Machine Learning. New Phytologist, doi:10.1111/nph.13794. Abstract

  • Contact

    For comments, suggestions and reporting bugs please contact jana.sperschneider@csiro.au



    Terms of use

    CSIRO Web Portal Agreement