KLinterSel

KLinterSel is a Python project for calculating intersections between selective sites detected by different methods. The main script performs operations on genomic data from selective scans and supports statistical tests and plotting.

Requirements

• Python 3.7+
• Libraries: numpy, pandas, matplotlib, seaborn, scipy, psutil

Installation

You can get KLinterSel by downloading the prebuilt binaries from the Releases section or by installing the program from source:

1. Clone this repository or download the source files by clicking on the green "Code" button and selecting "Download ZIP."

   git clone https://github.com/noosdev0/KLinterSel.git
   
   

2. Create and activate a virtual environment (recommended).

   python -m venv venv
   source venv/bin/activate  # On Windows use `venv\Scripts\activate`

3. Install the required libraries using pip install -r requirements.txt

Usage

To run the script, use the following command:

   python3 KLinterSel.py <file1> <file2> <file3> [file4 ...]

For just intersections at a specified distance:

python3 KLinterSel.py <file1> <file2> <file3> [file4 ...] --dist <distance> --notest

For plotting the distribution:

python3 KLinterSel.py <file1> <file2> <file3> [file4 ...] --paint

Features

• Filter clusters in genomic data from selective scans
• Calculate intersections between different methods
• Generate random data for control
• Perform statistical tests
• Plot distributions