An expert system to identify transcription factor binding target genes by phylogenetic footprinting

NCUIR > College of Electrical Engineering & Computer Science > Graduate Institute of Computer Science and Information Engineering > journal & Dissertation > Item 987654321/29103

Please use this identifier to cite or link to this item: http://ir.lib.ncu.edu.tw/handle/987654321/29103

Title:	An expert system to identify transcription factor binding target genes by phylogenetic footprinting
Authors:	Sun,YM;Horng,JT;Torng,JH;Wu,LC
Contributors:	資訊工程研究所
Keywords:	SPECIES SEQUENCE COMPARISONS;REGULATORY ELEMENTS;HUMAN GENOME;REGIONS;SITES;TOOL;IDENTIFICATION;NUCLEOTIDE;PROTEIN;FOOTER
Date:	2009
Issue Date:	2010-06-29 20:13:48 (UTC+8)
Publisher:	中央大學
Abstract:	The analysis of gene expression is able to identify many possible transcription factor regulated gene groups. It has been proven that the phylogenetic footprinting method can help to identify transcription factor binding sites. Our work develops an expert system that combines motif searching and phylogenetic footprinting. After a motif and a gene group are submitted, the expert system is able to evaluate the statistics of the motifs appearance across all genes in genome and in gene upstream conserved regions by comparing human and mouse. A transcription factor-target gene group was used to test the proposed system. The results show that the system is able to distinguish transcription factor-target gene groups from random gene groups. By comparing motif distribution between all genes and a gene group, the proposed system is able to help biologists identify possible transcription factor regulated gene groups that have co-regulated gene expression (C) 2008 Elsevier Ltd. All rights reserved.
Relation:	EXPERT SYSTEMS WITH APPLICATIONS
Appears in Collections:	[Graduate Institute of Computer Science and Information Engineering] journal & Dissertation

Files in This Item:

File	Description	Size	Format
index.html		0Kb	HTML	868	View/Open

社群 sharing

Loading...