Applied Bioinformatics Using Python: Tools and Techniques for Biological Data Analysis

Photo by National Cancer Institute on Unsplash

Here’s a comprehensive overview of the field of bioinformatics using Python, covering key concepts, tools, and applications:

1. Introduction to Bioinformatics:

• Bioinformatics is an interdisciplinary field that combines biology, computer science, and statistics to analyze and interpret biological data.
• Python has become a popular programming language in bioinformatics due to its readability, versatility, and a rich ecosystem of libraries.

2. Biological Data Handling with Python:

Biopython Library:

• Biopython is a comprehensive library for biological data processing, offering modules for working with sequences, structures, and annotations.
• Functions for reading and writing various biological file formats (FASTA, GenBank, PDB).

3. Sequence Analysis:

• DNA, RNA, and Protein Sequences:
• Python is used to manipulate and analyze biological sequences.
• Sequence alignment, searching for motifs, calculating GC content, and extracting features.

4. Structural…