cWords - systematic microRNA regulatory motif discovery from mRNA expression data
نویسندگان
چکیده
منابع مشابه
cWords - systematic microRNA regulatory motif discovery from mRNA expression data
BACKGROUND Post-transcriptional regulation of gene expression by small RNAs and RNA binding proteins is of fundamental importance in development of complex organisms, and dysregulation of regulatory RNAs can influence onset, progression and potentially be target for treatment of many diseases. Post-transcriptional regulation by small RNAs is mediated through partial complementary binding to mes...
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MOTIVATION microRNAs (miRNAs) are known to play an essential role in the post-transcriptional gene regulation in plants and animals. Currently, several computational approaches have been developed with a shared aim to elucidate miRNA-mRNA regulatory relationships. Although these existing computational methods discover the statistical relationships, such as correlations and associations between ...
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microRNAs (miRNAs) are a class of ∼22nt non-coding RNAs that potentially regulate over 60% of human protein-coding genes. miRNA activity is highly specific, differing between cell types, developmental stages and environmental conditions, so the identification of active miRNAs in a given sample is of great interest. Here we present a novel computational approach for analyzing both mRNA sequence ...
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A framework for systematic promoter motif discovery and expression profiling from high dimensional brain transcriptome data Jeremy A. Lieberman Understanding the regulatory logic of genes across discrete brain substructures can elucidate the basis for neural network connectivity and the cause of disease. Promoter motifs, in particular, that govern high or low expression gene networks present an...
متن کاملIntegrating regulatory motif discovery and genome-wide expression analysis.
We propose motif regressor for discovering sequence motifs upstream of genes that undergo expression changes in a given condition. The method combines the advantages of matrix-based motif finding and oligomer motif-expression regression analysis, resulting in high sensitivity and specificity. motif regressor is particularly effective in discovering expression-mediating motifs of medium to long ...
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ژورنال
عنوان ژورنال: Silence
سال: 2013
ISSN: 1758-907X
DOI: 10.1186/1758-907x-4-2