Combining Comparative Genomics with de novo Motif Discovery to Identify Human Transcription Factor DNA-Binding Motifs

Hangzhou, Zhejiang, China June 20-June 24

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http://doi.ieeecomputersociety.org/10.1109/IMSCCS.2006.47

2006 First International Multi-Sympos ...

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	Linyong Mao, W Jim Zheng, "Combining Comparative Genomics with de novo Motif Discovery to Identify Human Transcription Factor DNA-Binding Motifs," Computer and Computational Sciences, International Multi-Symposiums on, vol. 1, pp. 158-163, 2006 First International Multi-Symposiums on Computer and Computational Sciences, 2006.

	BibTex	x
	@article{ 10.1109/IMSCCS.2006.47, author = {Linyong Mao and W Jim Zheng}, title = {Combining Comparative Genomics with de novo Motif Discovery to Identify Human Transcription Factor DNA-Binding Motifs}, journal ={Computer and Computational Sciences, International Multi-Symposiums on}, volume = {1}, year = {2006}, isbn = {0-7695-2581-4}, pages = {158-163}, doi = {http://doi.ieeecomputersociety.org/10.1109/IMSCCS.2006.47}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, }

	RefWorks Procite/RefMan/Endnote	x
	TY - CONF JO - Computer and Computational Sciences, International Multi-Symposiums on TI - Combining Comparative Genomics with de novo Motif Discovery to Identify Human Transcription Factor DNA-Binding Motifs SN - 0-7695-2581-4 SP158 EP163 A1 - Linyong Mao, A1 - W Jim Zheng, PY - 2006 KW - null VL - 1 JA - Computer and Computational Sciences, International Multi-Symposiums on ER -

Linyong Mao, Medical University of South Carolina, USA

W Jim Zheng, Medical University of South Carolina, USA

As more and more genomes are sequenced, comparative genomics approaches provide a methodology for identifying conserved regulatory elements that may be involved in gene regulation. In this study, we combined comparative genomics with de novo motif discovery to identify potential human transcription factor binding motifs that are overrepresented and conserved in the upstream regions of a set of co-regulated genes. We validated our approach by analyzing a well-characterized muscle specific gene set. Our approach also performed better than other existing programs, such as Toucan and CompareProspector, based on the motif discovery results for the muscle data set.

Citation:

Linyong Mao, W Jim Zheng, "Combining Comparative Genomics with de novo Motif Discovery to Identify Human Transcription Factor DNA-Binding Motifs," imsccs, vol. 1, pp.158-163, 2006 First International Multi-Symposiums on Computer and Computational Sciences, 2006

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