Department of Biology and Center for Advanced Research in Environmental Genomics, University of Ottawa, 30 Marie Curie, P.O. Box 450, Station A, Ottawa, Ontario, Canada, K1N 6N5.
Evol Bioinform Online. 2007 May 17;3:53-8.
Codon adaptation index is a widely used index for characterizing gene expression in general and translation efficiency in particular. Current computational implementations have a number of problems leading to various systematic biases. I illustrate these problems and provide a better computer implementation to solve these problems. The improved CAI can predict protein production better than CAI from other commonly used implementations.
密码子适应指数是一个广泛用于描述基因表达总体情况和翻译效率的指标。目前的计算实现存在一些问题，导致了各种系统偏差。我将举例说明这些问题，并提供一种更好的计算机实现方法来解决这些问题。改进后的 CAI 可以比其他常用实现的 CAI 更好地预测蛋白质产量。
