Mining for Putative Regulatory Elements in the Yeast Genome Using Gene Expression Data
Proceedings of the Eighth International Conference on Intelligent Systems for Molecular Biology
Guiding motif discovery by iterative pattern refinement
Proceedings of the 2004 ACM symposium on Applied computing
International Journal of Bioinformatics Research and Applications
International Journal of Bioinformatics Research and Applications
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The aim of this study was to characterise the molecular mechanisms of transcriptional regulation of Differentially Expressed Genes (DEGs) in rice coleoptiles under anoxia by identifying motifs that are common in the promoter region of co-regulated genes. Un-changed DEGs (<2 fold and >−2), up-regulated DEGs (≥2 fold) and down-regulated DEGs (≤2 fold) were separated in three different data sets. Their gene promoters were extracted from eukaryotic promoter database. Statistically significant consensus promoter motifs were detected by in silico method. A significant variation in the number of promoter motifs, consensus promoter motif and their sequences between UR-DEGs and DR-DEGs were detected that might be responsible for their related expression.