Literature DB >> 11591469

Standard deviations and correlations of GC levels in DNA sequences.

O Clay1.   

Abstract

In a DNA sequence that exhibits long-range correlations, standard deviations among the GC levels of its segments can be up to an order of magnitude higher than in a sequence consisting of independent, identically distributed nucleotides. Conversely, plots of inter-segment standard deviations vs. segment length reveal quantitative information about the correlations present in a sequence. We present and discuss formulae that relate long-range (power-law) correlations between the nucleotides of a sequence to the expected standard deviations of the GC levels of its segments, and to the correlations between them.

Mesh:

Substances:

Year:  2001        PMID: 11591469     DOI: 10.1016/s0378-1119(01)00666-7

Source DB:  PubMed          Journal:  Gene        ISSN: 0378-1119            Impact factor:   3.688


  3 in total

1.  Using analytical ultracentrifugation to study compositional variation in vertebrate genomes.

Authors:  Oliver Clay; Christophe J Douady; Nicolas Carels; Sandrine Hughes; Giuseppe Bucciarelli; Giorgio Bernardi
Journal:  Eur Biophys J       Date:  2003-04-09       Impact factor: 1.733

2.  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

3.  Information measure for long-range correlated sequences: the case of the 24 human chromosomes.

Authors:  A Carbone
Journal:  Sci Rep       Date:  2013       Impact factor: 4.379

  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.