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

References in zbMATH (referenced in 4 articles )

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  1. Meng, Guofeng; Mosig, Axel; Vingron, Martin: A computational evaluation of over-representation of regulatory motifs in the promoter regions of differentially expressed genes (2010) ioport
  2. Nagarajan, Niranjan; Keich, Uri: Reliability and efficiency of algorithms for computing the significance of the Mann-Whitney test (2009)
  3. Rao, J. Sunil; Karanam, Suresh; McCabe, Colleen D.; Moreno, Carlos S.: Genomic promoter analysis predicts functional transcription factor binding (2008) ioport
  4. Karanam, Suresh; Moreno, Carlos S.: CONFAC: Automated application of comparative genomic promoter analysis to DNA microarray datasets. (2004) ioport