Codon usage bias analysis of genes linked with esophagus cancer

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-...

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Detalles Bibliográficos
Autores principales: Bordoloi, Hemashree, Nirmala, SR
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Biomedical Informatics 2021
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9049095/
https://www.ncbi.nlm.nih.gov/pubmed/35540696
http://dx.doi.org/10.6026/97320630017731
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author Bordoloi, Hemashree
Nirmala, SR
author_facet Bordoloi, Hemashree
Nirmala, SR
author_sort Bordoloi, Hemashree
collection PubMed
description 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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spelling pubmed-90490952022-05-09 Codon usage bias analysis of genes linked with esophagus cancer Bordoloi, Hemashree Nirmala, SR Bioinformation Research Article 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. Biomedical Informatics 2021-08-31 /pmc/articles/PMC9049095/ /pubmed/35540696 http://dx.doi.org/10.6026/97320630017731 Text en © 2021 Biomedical Informatics https://creativecommons.org/licenses/by/3.0/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.
spellingShingle Research Article
Bordoloi, Hemashree
Nirmala, SR
Codon usage bias analysis of genes linked with esophagus cancer
title Codon usage bias analysis of genes linked with esophagus cancer
title_full Codon usage bias analysis of genes linked with esophagus cancer
title_fullStr Codon usage bias analysis of genes linked with esophagus cancer
title_full_unstemmed Codon usage bias analysis of genes linked with esophagus cancer
title_short Codon usage bias analysis of genes linked with esophagus cancer
title_sort codon usage bias analysis of genes linked with esophagus cancer
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9049095/
https://www.ncbi.nlm.nih.gov/pubmed/35540696
http://dx.doi.org/10.6026/97320630017731
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