Title
Codon usage bias analysis of genes linked with esophagus cancer
Authors
Hemashree Bordoloi1,2 & SR Nirmala3
Affiliation
1Deptartment of Electronics and Communication Engineering, Gauhati University, Assam, India; 2Department of Electronics and Communication Engineering, Assam Don Bosco University, Assam, India; 3School of Electronics and Communication Engineering, KLE Technological University, Karnataka, India;
*Corresponding author; Hemashree Bordoloi, Email: hemashree.bordoloi@dbuniversity.ac.in; SR Nirmala – nirmalasr3@gmail.com
Article Type
Research Article
Date
Received June 26, 2021; Revised August 30, 2021; Accepted August 30, 2021, Published August 31, 2021
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.
Keywords
Natural selection; mutation pressure; compositional constraints; RSCU
Citation
Bordoloi & Nirmala, Bioinformation 17(8): 731-740 (2021)
Edited by
P Kangueane
ISSN
0973-2063
Publisher
License
This is an Open Access article which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. This is distributed under the terms of the Creative Commons Attribution License.
