A program to predict the lifestyle (virulent/temperate) of a phage genome
Project description
PHACTS
A simple program to classify the lifestyle of phages.
Introduction
Phage Classification Tool Set (PHACTS) utilizes a novel similarity algorithm and a supervised Random Forest classifier to make a prediction whether the lifestyle of a phage, described by its proteome, is virulent or temperate. The similarity algorithm creates a training set from phages with known lifestyles and along with the lifestyle annotation, trains a Random Forest to classify the lifestyle of a phage. PHACTS predictions are shown to have a 99% precision rate.
To install PHACTS
,
pip install phacts
or
git clone https://github.com/deprekate/PHACTS.git
cd PHANOTATE
python3 setup.py install
This is the new python based recoding of my original perl code, and is in a VERY alpha state for now.
- Currently it expects fasta35 to be visible on your path (makeshift binaries can be found in the bin directory) I have tried to replicate exactly the functionality of the original published version.
PHACTS Example
Run on included sample data, the output is the predicted lifestyle and the class probabilities:
$ phacts.py tests/NC_001416.faa
Class probability standard deviation
Temperate 0.626273726 0.101584648
Project details
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