ArticleBMC bioinformatics2006
Combining comparative genomics with de novo motif discovery to identify human transcription factor DNA-binding motifs.
Article in BMC bioinformatics, 2006. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed.
- Breeding and preliminarily phenotyping of a congenic mouse model with alopecia areata.Dong wu xue yan jiu = Zoological research · 2014Article
- β-arrestin-selective G protein-coupled receptor agonists engender unique biological efficacy in vivo.Molecular endocrinology (Baltimore, Md.) · 2013Article
- Article
- A role for Fli-1 in B cell proliferation: implications for SLE pathogenesis.Clinical immunology (Orlando, Fla.) · 2008Article
- Comparative genomics - a perspective.Bioinformation · 2007Article
- Development of computations in bioscience and bioinformatics and its application: review of the Symposium of Computations in Bioinformatics and Bioscience (SCBB06).BMC bioinformatics · 2006Article
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Authors and funding
2 authors.
Funding
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Abstract
backgroundAs more and more genomes are sequenced, comparative genomics approaches provide a methodology for identifying conserved regulatory elements that may be involved in gene regulations.
resultsWe developed a novel method to combine comparative genomics with de novo motif discovery to identify human transcription factor binding motifs that are overrepresented and conserved in the upstream regions of a set of co-regulated genes. The method is validated by analyzing a well-characterized muscle specific gene set, and the results showed that our approach performed better than the existing programs in terms of sensitivity and prediction rate.
conclusionThe newly developed method can be used to extract regulatory signals in co-regulated genes, which can be derived from the microarray clustering analysis.
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