Prediction of Genomic Islands
Project description
TREASUREISLAND
TreasureIsland is a machine learning-based Genomic Island prediction software, that uses an unsupervised representation of DNA for its prediction.
Installation :
Use pip to install the package :
pip install treasureisland
Sample code:
Sample code can be found in test.py
import the gi_driver from treasure island package:
from treasureisland.gi_driver import gi_driver
Instantiate the gi_driver with the DNA sequence file path as the argument. The DNA file used can be a fasta or genbank file.
driver = gi_driver("C:/Users/USER/GenomicIslandPrediction/genome/bsub.fasta") # enter local path for sequence file
Get prediction data frame from gi_driver by running the get predictions.
pred = driver.get_predictions()
The predictions can be downloaded in text, csv, excel formats.
driver.predictions_to_csv(pred)
driver.predictions_to_excel(pred)
driver.predictions_to_text(pred)
The sample outputs can be found in the repository - output.txt, output.csv, output.xlsx
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