Genetic Engineering Publications - GEG Tech top picks

Here the scientists conduct the first independent evaluation of CRISPR/Cas9 predictions. To this end, they collect data from eight SpCas9 off-target studies and compare them with the sites predicted by popular algorithms. They find that the optimal on-target efficiency prediction model strongly depends on whether the guide RNA is expressed from a U6 promoter or transcribed in vitro. They further demonstrate that the best predictions can significantly reduce the time spent on guide screening.