Calculate Codon Adaptation Index (CAI) in Python | Gene Expression Analysis
Автор: Python for Bioinformatics
Загружено: 2025-10-30
Просмотров: 84
Описание:
Codon Adaptation Index (CAI) is a measure of how well a gene’s codon usage is adapted to the host organism — important for gene expression efficiency in bioengineering and synthetic biology. 🧠
In this quick Python snippet, we compute CAI to assess how optimized a gene is for translation.
In this video, we:
1️⃣ Define a reference dictionary of codon adaptation values.
2️⃣ Store a DNA sequence.
3️⃣ Split the sequence into codons (three-base groups).
4️⃣ Multiply codon weights for all codons in the sequence.
5️⃣ Take the geometric mean of weights to calculate CAI.
6️⃣ Print the CAI value — a higher value means better codon adaptation.
This is a simple yet powerful calculation for bioinformaticians, molecular biologists, and synthetic biology enthusiasts.
💡 Try it with different sequences to see how codon adaptation changes!
Hashtags:
#dna #coding #biotechnology #shorts #pythonshorts
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