Detecting microRNA binding and siRNA off-target effects from expression data

By Stijn van Dongen, Cei Abreu-Goodger, Anton J. Enright. Nature Methods, 2008

296 citations recorded by the source corpus.

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.

Subfields: Cancer Research, Molecular Biology

View Paper: https://www.semanticscholar.org/paper/3b1c72c5d839289425b82a47c4f174ead70aee74

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