A statistical fat-tail test of predicting regulatory regions in the Drosophila genome
arXiv:1402.5338 · doi:10.1016/j.compbiomed.2012.07.007
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 be served as valuable filtering indexes to predict CRMs experimentally.
References in corpus (8)
- A new integrated symmetrical table for genetic codes
- Pairwise alignment of the DNA sequence using hypercomplex number representation
- Magnetic fields facilitate DNA-mediated charge transport
- Fourier-based classification of protein secondary structures
- Hypercomplex cross-correlation of DNA sequences
- An improved scoring matrix for multiple sequence alignment
- Programmable DNA-mediated multitasking processor
- A statistical thin-tail test of predicting regulatory regions in the Drosophila genome