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Bioinformatics Tools and Scripts

This repository contains various Python scripts developed for bioinformatics research, with a focus on data analysis, evaluation, and transformation. These tools cater to different aspects of biological data processing, including transcription counts, nucleotide evaluation, and protein-based analyses.

Repository Contents

  1. aa_score_ranking.py: Evaluates amino acid scores and ranks them based on specific criteria.
  2. mathematical_operators_eval.py: Performs mathematical evaluations, focusing on specific operations for bioinformatics datasets.
  3. nucleotide_count.py: Counts and analyzes nucleotide compositions in DNA sequences.
  4. aa_charge_to_fasta.py: Converts amino acid charge data into FASTA format for downstream analysis.
  5. transcription_counts.py: Processes transcription count data for gene expression studies.

Usage

Each script is self-contained and focuses on a specific data processing task. To use these scripts:

  1. Clone this repository to your local machine: 
    git clone <repository_url>
  2. Navigate to the script of interest and execute it in a Python environment: 
    python <script_name>.py

Prerequisites

  • Python 3.8 or higher
  • Required Python packages (can be installed using requirements.txt if provided)

Key Features

  • Modular Design: Scripts are independent, allowing focused use based on task requirements.
  • Bioinformatics Focus: Tailored for common bioinformatics data transformations and evaluations.
  • Extensibility: Easy to adapt and integrate into larger workflows.

Contribution

Contributions are welcome! If you'd like to improve existing scripts or add new functionalities, please fork the repository, make your changes, and submit a pull request.