ICAR Research Data Repository for Knowledge Management
Prediction of codon bias in rice (Oryza sativa) genes
KrishiKosh
View Archive Info| Field | Value | |
| Title |
Prediction of codon bias in rice (Oryza sativa) genes
|
|
| Creator |
Savita
|
|
| Contributor |
Jain, Sunita
|
|
| Subject |
Animal husbandry, Livestock, Mastitis, Lactation, Economic systems, Byproducts, Yields, Biological phenomena, Seasons, Animal developmental stages
|
|
| Description |
Patterns and degrees of codon usage bias vary not only among different organisms, but also among genes in the same organism. Codon usage bias (CUB) conveys useful information about the selection on synonymous codons induced by gene expression, translation efficiency and about the distinctive evolutionary properties. In the present study, by using 28502 complete coding sequences (CDS) of rice (Oryza sativa) with full length cDNA support, a detailed analysis of the codon bias was performed by employing Automated Codon Usage Analysis (ACUA) tool. 27897 genes demonstrated codon bias as their ENc (effective number of codons) values varied from 20 to less than 61. On basis of GC3 content values, 267 biased genes were taken as high GC 3(GC3>=0.8) whereas 27630 biased genes were termed as low GC3(GC3 |
|
| Date |
2016-10-27T11:36:26Z
2016-10-27T11:36:26Z 2012 |
|
| Type |
Thesis
|
|
| Identifier |
http://krishikosh.egranth.ac.in/handle/1/82470
|
|
| Language |
en
|
|
| Format |
application/pdf
|
|
| Publisher |
CCSHAU
|
|