title: A statistical fat-tail test of predicting regulatory regions in the Drosophila genome.
abstract: A statistical study of cis-regulatory modules (CRMs) is presented based on the estimation of similar-word set distribution. It is observed that CRMs tend to have a fat-tail distribution. A new statistical fat-tail test with two kurtosis-based fatness coefficients is proposed to distinguish CRMs from non-CRMs. As compared with the existing fluffy-tail test, the first fatness coefficient is designed to reduce computational time, making the novel fat-tail test very suitable for long sequences and large database analysis in the post-genome time and the second one to improve separation accuracy between CRMs and non-CRMs. These two fatness coefficients may serve as valuable filtering indexes to predict CRMs experimentally.
authors.affiliation: School of Mechanical & Aerospace Engineering, Nanyang Technological University, 50 Nanyang Avenue, Singapore 639798, Singapore. mjjshu@ntu.edu.sg
authors.forename: Jian-Jun
authors.initials: JJ
authors.lastname: Shu
authors.forename: Yajing
authors.initials: Y
authors.lastname: Li
mesh_terms: D000465:Algorithms; D000818:Animals; D001665:Binding Sites; D030541:Databases, Genetic; D004330:Drosophila / Q000235:genetics*; D049750:Genome, Insect; D023281:Genomics / Q000379:methods*; D015233:Models, Statistical; D050436:Regulatory Elements, Transcriptional / Q000235:genetics*; D014157:Transcription Factors / Q000235:genetics
chemical_list: D014157:Transcription Factors