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Updated README
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JanaSperschneider committed Jan 19, 2018
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2 changes: 1 addition & 1 deletion LICENCE.txt
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Expand Up @@ -25,7 +25,7 @@ ___________________________________________________________________
EMBOSS (http://emboss.sourceforge.net/)
This software is licensed under GNU GPL.

WEKA 3.6.12 (http://sourceforge.net/projects/weka/)
WEKA 3.8.1 (http://sourceforge.net/projects/weka/)
This software is licensed under GNU GPL.
___________________________________________________________________

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20 changes: 10 additions & 10 deletions README.txt
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EffectorP: predicting fungal effector proteins from secretomes using machine learning
Copyright (C) 2015-2016 Jana Sperschneider
Improved prediction of fungal effector proteins from secretomes with EffectorP 2.0
Copyright (C) 2017-2018 Jana Sperschneider
Contact: [email protected]
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Installation instructions for EffectorP 1.0
Installation instructions for EffectorP 2.0
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EffectorP relies on two tools, the EMBOSS software and the WEKA 3.6 software. These have been shipped
EffectorP relies on two tools, the EMBOSS software and the WEKA 3.8.1 software. These have been shipped
with the EffectorP 1.0.tar.gz file, but they need to be installed by the user.

1) Extract the EffectorP 1.0 archive:
1) Extract the EffectorP 2.0 archive:

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tar xvf EffectorP_1.0.tar.gz
cd EffectorP_1.0
tar xvf EffectorP_2.0.tar.gz
cd EffectorP_2.0
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2) Install EMBOSS
Expand All @@ -29,15 +29,15 @@ make
cd ../
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3) Install WEKA: simply unzip the file weka-3-6-12.zip
3) Install WEKA: simply unzip the file weka-3-8-1.zip

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unzip weka-3-6-12.zip
unzip weka-3-8-1.zip
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3) Run EffectorP

To test that EffectorP is working, type the following command in the working directory EffectorP_1.0/Scripts
To test that EffectorP is working, type the following command in the working directory EffectorP_2.0/Scripts

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python EffectorP.py -i Effector_Testing.fasta
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2 changes: 1 addition & 1 deletion Scripts/EffectorP.py
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#! /usr/bin/python
"""
EffectorP 2.0: predicting fungal effector proteins from secretomes using machine learning
Improved prediction of fungal effector proteins from secretomes with EffectorP 2.0
Copyright (C) 2017-2018 Jana Sperschneider
This program is free software; you can redistribute it and/or modify
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2 changes: 1 addition & 1 deletion Scripts/functions.py
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#!/usr/bin/env python
"""
EffectorP 2.0: predicting fungal effector proteins from secretomes using machine learning
Improved prediction of fungal effector proteins from secretomes with EffectorP 2.0
Copyright (C) 2017-2018 Jana Sperschneider
This program is free software; you can redistribute it and/or modify
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