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.
To make these guidelines easily accessible to anyone planning a CRISPR genome editing experiment, they built a new website (http://crispor.org) that predicts off-targets and helps select and clone efficient guide sequences for more than 120 genomes using different Cas9 proteins and the eight efficiency scoring systems evaluated here.
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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.
To make these guidelines easily accessible to anyone planning a CRISPR genome editing experiment, they built a new website (http://crispor.org) that predicts off-targets and helps select and clone efficient guide sequences for more than 120 genomes using different Cas9 proteins and the eight efficiency scoring systems evaluated here.