Bordoloi Hemashree, Nirmala S R
Deptartment of Electronics and Communication Engineering, Gauhati University, Assam, Indi.
Department of Electronics and Communication Engineering, Assam Don Bosco University, Assam, India.
Bioinformation. 2021 Aug 31;17(8):731-740. doi: 10.6026/97320630017731. eCollection 2021.
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.
食管癌涉及多种基因改变。为研究食管癌反应相关基因间的密码子使用偏好,我们完成了一项系统的密码子使用偏好性分析。富含GC的基因比例较低(密码子平均有效数量值为49.28)。CAG和GTA分别是使用过度和使用不足的密码子。对应分析、中性绘图和奇偶规则2绘图分析证实,在调节与食管癌相关基因的密码子使用模式方面,突变压力起主导作用。