Literature DB >> 22108754

A statistical feature of Hurst exponents of essential genes in bacterial genomes.

Xiao Liu1, Shi-Yuan Wang, Jia Wang.   

Abstract

At present, methods for determining essential genes depend on biochemical experiments. There is therefore a demand for the development of analysis methods and software for identifying essential genes, based on the common features of these genes. In this study, we employed the Hurst exponent as a characteristic parameter and analyzed its distribution among nine bacterial species. We found that most of the significance levels of the Hurst exponents of essential genes were higher than those of the corresponding full-gene-set. Conversely, most of the significance levels of the Hurst exponents of nonessential genes remained unchanged or only increased slightly. Therefore, we propose that this feature represents a restraint for pre- or post-design checking of bacterial essential genes in computer-aided design. This journal is © The Royal Society of Chemistry 2012

Mesh:

Year:  2011        PMID: 22108754     DOI: 10.1039/c1ib00030f

Source DB:  PubMed          Journal:  Integr Biol (Camb)        ISSN: 1757-9694            Impact factor:   2.192


  2 in total

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

Authors:  Xiao Liu; Baojin Wang; Luo Xu
Journal:  PLoS One       Date:  2015-06-12       Impact factor: 3.240

2.  Selection of key sequence-based features for prediction of essential genes in 31 diverse bacterial species.

Authors:  Xiao Liu; Bao-Jin Wang; Luo Xu; Hong-Ling Tang; Guo-Qing Xu
Journal:  PLoS One       Date:  2017-03-30       Impact factor: 3.240

  2 in total

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