Detecting microsatellites within genomes: significant variation among algorithms.

ABSTRACT:

Background

Microsatellites are short, tandemly-repeated DNA sequences which are widely distributed among genomes. Their structure, role and evolution can be analyzed based on exhaustive extraction from sequenced genomes. Several dedicated algorithms have been developed for this purpose. Here, we compared the detection efficiency of five of them (TRF, Mreps, Sputnik, STAR, and RepeatMasker).

Results

Our analysis was first conducted on the human X chromosome, and microsatellite distributions were characterized by microsatellite number, length, and divergence from a pure motif. The algorithms work with user-defined parameters, and we demonstrate that the parameter values chosen can strongly influence microsatellite distributions. The five algorithms were then compared by fixing

SUBMITTER: Leclercq S 

PROVIDER: S-EPMC1876248 | biostudies-literature | 2007 Apr

REPOSITORIES: biostudies-literature