Ontology highlight
ABSTRACT:
SUBMITTER: Pelossof R
PROVIDER: S-EPMC5416823 | biostudies-literature | 2017 Apr
REPOSITORIES: biostudies-literature
Nature biotechnology 20170306 4
We present SplashRNA, a sequential classifier to predict potent microRNA-based short hairpin RNAs (shRNAs). Trained on published and novel data sets, SplashRNA outperforms previous algorithms and reliably predicts the most efficient shRNAs for a given gene. Combined with an optimized miR-E backbone, >90% of high-scoring SplashRNA predictions trigger >85% protein knockdown when expressed from a single genomic integration. SplashRNA can significantly improve the accuracy of loss-of-function geneti ...[more]