Detecting microRNA binding and siRNA off-target effects from expression data
Nature methods, 2008•nature.com
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.
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.
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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