STATISTICAL INFORMATION CHARACTERIZATION OF CONSERVED NON-CODING ELEMENTS IN VERTEBRATES

被引：7

作者：

Abnizova, I. ^{[1
]}

Walter, K. ^{[1
]}

te Boekhorst, R. ^{[2
,4
]}

Elgar, G. ^{[6
]}

Gilks, W. R. ^{[3
,5
]}

机构：

[1] MRC BSU, Cambridge, England

[2] Univ Hertfordshire, Comp Sch, Hatfield AL10 9AB, Herts, England

[3] Univ Hertfordshire, Hatfield AL10 9AB, Herts, England

[4] Univ Leeds, Leeds, W Yorkshire, England

[5] Univ Leeds, Stat Sch Math, Ctr Stat, Bioinformat Dept, Leeds LS2 9JT, W Yorkshire, England

[6] Queens Mary Univ, London, England

来源：

JOURNAL OF BIOINFORMATICS AND COMPUTATIONAL BIOLOGY | 2007年 / 5卷 / 2B期

基金：

英国医学研究理事会;

关键词：

Transcription factor binding motifs; statistical significance; cross-genome comparison;

D O I：

10.1142/S0219720007002898

中图分类号：

Q5 [生物化学];

学科分类号：

071010 ; 081704 ;

摘要：

Recently, a set of highly conserved non-coding elements (CNEs) has been derived from a comparison between the genomes of the puffer fish, Takifugu or Fugu rubripes, and man. In order to facilitate the identification of these conserved elements in silico, we characterize them by a number of statistical features. We found a pronounced information pattern around CNE borders; although the CNEs themselves are AT rich and have high entropy (complexity), they are flanked by GC-rich regions of low entropy (complexity). We also identified the most abundant motifs within and around of CNEs, and identified those that group around their borders. Like in human promoter regions, the TBP, NF-Y and some other binding motifs are clustered around CNE boundaries, which may suggest a possible transcription regulatory function of CNEs.

引用

页码：533 / 547

页数：15

共 27 条

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