Statistical Analysis of Hurst Exponents of Essential/Nonessential Genes in 33 Bacterial Genomes.

ABSTRACT: Methods for identifying essential genes currently depend predominantly on biochemical experiments. However, there is demand for improved computational methods for determining gene essentiality. In this study, we used the Hurst exponent, a characteristic parameter to describe long-range correlation in DNA, and analyzed its distribution in 33 bacterial genomes. In most genomes (31 out of 33) the significance levels of the Hurst exponents of the essential genes were significantly higher than for the corresponding full-gene-set, whereas the significance levels of the Hurst exponents of the nonessential genes remained unchanged or increased only slightly. All of the Hurst exponents of essential genes followed a normal distribution, with one exception. We therefore propose that the distribution

SUBMITTER: Liu X 

PROVIDER: S-EPMC4466317 | biostudies-literature | 2015

REPOSITORIES: biostudies-literature