Modeling compositional dynamics based on GC and purine contents of protein-coding sequences.

ABSTRACT:

Background

Understanding the compositional dynamics of genomes and their coding sequences is of great significance in gaining clues into molecular evolution and a large number of publically-available genome sequences have allowed us to quantitatively predict deviations of empirical data from their theoretical counterparts. However, the quantification of theoretical compositional variations for a wide diversity of genomes remains a major challenge.

Results

To model the compositional dynamics of protein-coding sequences, we propose two simple models that take into account both mutation and selection effects, which act differently at the three codon positions, and use both GC and purine contents as compositional parameters. The two models concern the theoretical composition of

SUBMITTER: Zhang Z 

PROVIDER: S-EPMC2989939 | biostudies-literature | 2010 Nov

REPOSITORIES: biostudies-literature