CONFAC

CONFAC identifies conserved transcription factor binding sites (TFBSs) in non-coding regulatory regions between human and mouse and integrates DNA microarray and vertebrate genome sequencing data for comparative analysis of gene regulation.


Key Features:

  • Comparative Genomic Analysis: Compares non-coding regulatory sequences between human and mouse genomes to identify conserved TFBSs.
  • High-Throughput Capability: Processes hundreds of genes simultaneously for large-scale genomic studies.
  • Enrichment Analysis: Identifies TFBSs significantly enriched in promoter regions of gene clusters derived from microarray analyses by comparing to control gene sets using the Mann-Whitney U-test.
  • Low False Positive Rate: Validated to maintain over 98% of TFBSs with false positive rates below 5%.
  • Data Integration: Integrates DNA microarray data with vertebrate genome sequencing information to inform TFBS detection.
  • Orthologue-Based Input: Uses lists of human gene names and identifiers and compares them with corresponding mouse orthologues.

Scientific Applications:

  • Comparative gene regulation analysis: Elucidates transcriptional control mechanisms conserved between humans and mice by identifying functionally important TFBSs.
  • Validation of TFBSs: Confirms experimentally established regulatory elements, as demonstrated across multiple microarray studies.

Methodology:

Accepts input lists of human gene names and identifiers and compares them with mouse orthologues; analyzes non-coding regulatory sequences between species to pinpoint conserved TFBSs; employs the Mann-Whitney U-test to assess TFBS enrichment in gene cluster promoters versus control sets; includes validation studies demonstrating the reported accuracy.

Topics

Details

Tool Type:
web application
Operating Systems:
Linux, Windows, Mac
Added:
3/24/2017
Last Updated:
11/25/2024

Operations

Publications

Karanam S, Moreno CS. CONFAC: automated application of comparative genomic promoter analysis to DNA microarray datasets. Nucleic Acids Research. 2004;32(Web Server):W475-W484. doi:10.1093/nar/gkh353. PMID:15215433. PMCID:PMC441491.

Documentation