Bioinformatics

Bioinformatics in Python is a collection of scripts, utilities, and projects for solving computational biology problems. The repository includes implementations of DNA/RNA sequence analysis, structural modeling, and algorithmic solutions to classical bioinformatics challenges (e.g., Rosalind problems). It serves as both a learning resource and a toolkit for applying Python to biological data.

The primary goals of this repository are:

• To practice and document solutions to classical bioinformatics problems (e.g., Rosalind challenges).
• To provide reusable Python scripts for DNA/RNA sequence manipulation and analysis.
• To serve as a learning reference for those interested in applying Python to biological datasets.

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Features

• DNA & RNA sequence analysis

  • Counting nucleotides
  • Transcription and translation
  • Reverse complements

• Algorithmic problem-solving

  • Implementations inspired by Rosalind problems
  • Solutions that emphasize clarity and efficiency

• Structural bioinformatics (in progress)

  • Protein structure parsing and analysis
  • Modeling biological macromolecules

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Rosalind Problems

This repository also includes solutions to Rosalind.info problems, which are widely used for learning bioinformatics through programming.

Stronghold Section:

• Complementing a DNA strand
• Counting nucleotides
• Transcribing DNA to RNA
  (More problems will be added as progress continues)

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Repository Structure

bioinformatics-in-python/
│
├── rosalind-problems/
│   ├── stronghold/
│   │   ├── complement_dna.py
│   │   ├── count_nucleotides.py
│   │   └── transcribe_dna.py
│   └── ...
│
├── projects/
│   └── ...
│
├── README.md
└── .gitignore