Skip to main content

Prediction of Genomic Islands

Project description

TreasureIsland

TreasureIsland python package is a machine learning-based Genomic Island prediction software, that uses an unsupervised representation of DNA for its prediction.

TreasureIsland is constructed from the Benbow dataset.

Dependencies :

Python >= 3.7

Installation:

Option1 - Use pip:

python -m pip install treasureisland

if treasureisland is already installed :

python -m pip install treasureisland --upgrade

Option2 - Locally install package:

git clone https://github.com/priyamayur/GenomicIslandPrediction.git
python -m pip install -e GenomicIslandPrediction

Usage:

Option1 - Run TreasureIsland directly from commandline :

Run TreasureIsland from commandline on your DNA fasta file (example DNA files provided here), output is given in csv format:

treasureisland mypath/<DNA file>.fasta [-o <output_file_path>] [-ut <upper threshold value>] 

Option2 - Run TreasureIsland from python :

The TreasureIsland package is used to find genomic island predictions which can be downloaded in csv, xlsx, txt file formats demonstrated in TreasureIsland package

Input file:

DNA sequence files in fasta format with a sequenceID.

example: >NC_002620.2 Chlamydia muridarum str. Nigg, complete sequence CACATAGCAAAACACTCAAAGTTTTTCAGCAAAAAAGCTTGTTGAAAAAATTGTTGACCGCCTGTTCACA....

Performance:

TreasureIsland takes 2-5 mins to run depending on the size of the input.

Output :

The results are shown in the following format for each genomic island:

example : NC_002620.2 1.0 130000.0 0.95597

Upper Threshold:

User also has the ability to change the upper threshold value to change the precision and recall tradeoff. upper threshold is set to 0.80 by default.

Example :

treasureisland ecoli.fasta -o gei_output -ut 0.95 Setting the upper threshold to 0.95 would increase the precision and decrease the recall performance.

Testing:

A repository containing some sample DNA files that can be downloaded to test TreasureIsland. Note : github downloads fasta file in txt format (filename.fasta.txt).

example :

treasureisland ecoli.fasta -o gei_output -ut 0.95 

Running TreasureIsland package from python:

import the Predictor class from treasureisland package:

from treasureisland.Predictor import Predictor

Instantiate the sequence with the DNA sequence file path as the argument. The DNA file used can be a fasta file.

seq = Predictor("<Path to DNA fasta file>/ecoli.fasta", "<output_file_path>") 

Optionally, change the upper threshold value.

seq.change_upper_threshold(0.9)

Get prediction data frame from sequence by running the predict method.

pred = seq.predict()

The predictions can be downloaded in text, csv, excel formats.

seq.predictions_to_csv(pred)
seq.predictions_to_excel(pred)
seq.predictions_to_text(pred)

Contact:

Feel free to contact at banerjee.p1104@gmail.com

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

treasureisland-1.1.1.tar.gz (17.0 MB view details)

Uploaded Source

Built Distribution

treasureisland-1.1.1-py3-none-any.whl (17.1 MB view details)

Uploaded Python 3

File details

Details for the file treasureisland-1.1.1.tar.gz.

File metadata

  • Download URL: treasureisland-1.1.1.tar.gz
  • Upload date:
  • Size: 17.0 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.12.1

File hashes

Hashes for treasureisland-1.1.1.tar.gz
Algorithm Hash digest
SHA256 eb71e67007a69a3284cc8aa9b29320fed2eb8050f6a269c1c277902db12a65ed
MD5 bde4af4c47dbec8a2e6b104ad98f5151
BLAKE2b-256 3161c279293a3131af7875407ce59d34a5b0dd2bfcc7e3718bb4291333c383db

See more details on using hashes here.

File details

Details for the file treasureisland-1.1.1-py3-none-any.whl.

File metadata

File hashes

Hashes for treasureisland-1.1.1-py3-none-any.whl
Algorithm Hash digest
SHA256 dfa4b9552ebd8c9868887c60df26997f3dfdfef8a23915b5c4f228f3bf1a9389
MD5 db55f1ecf123030f089a3c16cde5ce82
BLAKE2b-256 61d3555ea7b94a90a72c5f082f6b7830c732e2ca883d67c5bf36ecd44dc322ae

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page