A problem in multivariate analysis of codon usage data and a possible solution

Haruo Suzuki, Rintaro Saito, Masaru Tomita

研究成果: Article

23 引用 (Scopus)

抜粋

Multivariate analyses are often used to identify major trends of variation in synonymous codon usage among genes. These analyses need to be performed on properly normalized codon usage data to avoid biases masking this synonymous variation, i.e., gene length, amino acid usage, and codon degeneracy; however, previous studies have failed to do so. In this paper, we demonstrate that the use of alternative normalized data (called 'relative adaptiveness' in the literature) can avoid all these biases and furthermore, can identify more trends of variation among genes, including GC-ending codon usage, GT-ending codon usage, and gene expression level.

元の言語English
ページ(範囲)6499-6504
ページ数6
ジャーナルFEBS Letters
579
発行部数28
DOI
出版物ステータスPublished - 2005 11 21

ASJC Scopus subject areas

  • Biophysics
  • Structural Biology
  • Biochemistry
  • Molecular Biology
  • Genetics
  • Cell Biology

フィンガープリント A problem in multivariate analysis of codon usage data and a possible solution' の研究トピックを掘り下げます。これらはともに一意のフィンガープリントを構成します。

  • これを引用