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CONFAC:将比较基因组启动子分析自动应用于DNA微阵列数据集。

CONFAC: automated application of comparative genomic promoter analysis to DNA microarray datasets.

作者信息

Karanam Suresh, Moreno Carlos S

机构信息

Program in Bioinformatics, School of Biology, Georgia Institute of Technology, Atlanta, GA 30332, USA.

出版信息

Nucleic Acids Res. 2004 Jul 1;32(Web Server issue):W475-84. doi: 10.1093/nar/gkh353.

Abstract

The advent of DNA microarray technology and the sequencing of multiple vertebrate genomes has provided a unique opportunity for the integration of comparative genomics with high-throughput gene expression analysis. Here we describe the conserved transcription factor binding site (CONFAC) software that enables the high-throughput identification of conserved transcription factor binding sites (TFBSs) in the regulatory regions of hundreds of genes at a time (http://morenolab.whitehead.emory.edu/cgi-bin/confac/login.pl). The CONFAC software compares non-coding regulatory sequences between human and mouse genomes to enable identification of conserved TFBSs that are significantly enriched in promoters of gene clusters from microarray analyses compared to sets of unchanging control genes using a Mann-Whitney U-test. Analysis of random gene sets demonstrated that using our approach, over 98% of TFBSs had false positive rates below 5%. As a proof-of-principle, we have validated the CONFAC software using gene sets from four separate microarray studies and identified TFBSs known to be functionally important for regulation of each of the four gene sets.

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