Regarding the existence of any specific correlation between optimal growth temperature and genomic GC levels, Musto et al. [FEBS Lett. 573 (2004) 73] have recently performed analysis on 20 prokaryotic families and showed that in most of the families there exists a positive correlation between these two parameters. On the basis of these results they claimed that optimal growth temperature is one of the factors that influence genomic GC composition in prokaryotes. In a subsequent article, Marashi and Ghalanbor [Biochem. Biophys. Res. Commun. 325 (2004) 381] have demonstrated that the correlation values change substantially when very few points in some of the families were excluded from the data set of Musto et al. [FEBS Lett. 573 (2004) 73]. But Marashi and Ghalanbor have not provided any reason behind this. The points excluded by Marashi and Ghalanbor are actually the outliers in the data set, which strongly affect the correlation coefficients. But the presence of outliers in large data set hardly had any effect on the correlation values. Marashi and Ghalanbor have excluded points from only those families that have small sample sizes and observed a substantial change in correlation coefficient values. Therefore, we argue that any conclusion drawn for a small sample size having outliers is always questionable. Although Music's approach is a novel one, but to make any generalization one needs to be careful about the flawlessness in the data set. (C) 2004 Elsevier Inc. All rights reserved.