Detecting microRNA binding and siRNA off-target effects from expression data
- PMID: 18978784
- PMCID: PMC2635553
- DOI: 10.1038/nmeth.1267
Detecting microRNA binding and siRNA off-target effects from expression data
Abstract
Sylamer is a method for detecting microRNA target and small interfering RNA off-target signals in 3' untranslated regions from a ranked gene list, sorted from upregulated to downregulated, after a microRNA perturbation or RNA interference experiment. The output is a landscape plot that tracks occurrence biases using hypergeometric P-values for all words across the gene ranking. We demonstrated the utility, speed and accuracy of this approach on several datasets.
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