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Updated: Sep 23, 2025

Development of Compendium for Esophageal Squamous Cell Carcinoma
Published on: April 12, 2024
Codon usage bias analysis of genes linked with esophagus cancer
Hemashree Bordoloi1,2, S R Nirmala3
1Deptartment of Electronics and Communication Engineering, Gauhati University, Assam, Indi.
Abstract:
Esophageal cancer involves multiple genetic alternations. A systematic codon usage bias analysis was completed to investigate the bias among the esophageal cancer responsive genes. GC-rich genes were low (average effective number of codon value was 49.28). CAG and GTA are over-represented and under-represented codons, respectively. Correspondence analysis, neutrality plot, and parity rule 2 plot analysis confirmed the dominance over mutation pressure in modulating the codon usage pattern of genes linked with esophageal cancer.
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