Computational modeling of oligonucleotide positional densities for human promoter prediction
作者:
Highlights:
•
摘要
Objective:The gene promoter region controls transcriptional initiation of a gene, which is the most important step in gene regulation. In-silico detection of promoter region in genomic sequences has a number of applications in gene discovery and understanding gene expression regulation. However, computational prediction of eukaryotic poly-II promoters has remained a difficult task. This paper introduces a novel statistical technique for detecting promoter regions in long genomic sequences.
论文关键词:Promoter modeling,Bayesian networks,Regulatory region prediction
论文评审过程:Received 30 October 2004, Revised 31 January 2005, Accepted 22 February 2005, Available online 1 August 2005.
论文官网地址:https://doi.org/10.1016/j.artmed.2005.02.005