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Title:
Evaluation of off-target and on-target scoring algorithms and integration into the guide RNA selection tool CRISPOR | Genome Biology
Description:
Background The success of the CRISPR/Cas9 genome editing technique depends on the choice of the guide RNA sequence, which is facilitated by various websites. Despite the importance and popularity of these algorithms, it is unclear to which extent their predictions are in agreement with actual measurements. Results We conduct the first independent evaluation of CRISPR/Cas9 predictions. To this end, we collect data from eight SpCas9 off-target studies and compare them with the sites predicted by popular algorithms. We identify problems in one implementation but found that sequence-based off-target predictions are very reliable, identifying most off-targets with mutation rates superior to 0.1 %, while the number of false positives can be largely reduced with a cutoff on the off-target score. We also evaluate on-target efficiency prediction algorithms against available datasets. The correlation between the predictions and the guide activity varied considerably, especially for zebrafish. Together with novel data from our labs, we 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. We further demonstrate that the best predictions can significantly reduce the time spent on guide screening. Conclusions To make these guidelines easily accessible to anyone planning a CRISPR genome editing experiment, we 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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Keywords {🔍}
guide, pubmed, offtarget, score, additional, file, article, guides, offtargets, data, cas, google, scholar, dataset, scores, sequences, genome, table, mismatches, efficiency, specificity, datasets, number, central, crisprcas, cell, studies, website, crispor, cleavage, shown, sequence, crispr, design, study, rna, figure, modification, fig, doench, tested, code, wang, human, assays, cells, assay, sites, zebrafish, frequencies,
Topics {✒️}
crispr/cas-derived rna-guided endonucleases o-nitrophenyl-β-d-galactopyranosid crispr-cas9-mediated gene inactivation crispr-cas9 genome-editing systems net/harijay/fz-score-d1324dab/ protospacer adjacent motif isolated double-strand breaks �u20s/mef/c6-t7 endo” nonfunctional β-galactosidase gene high-throughput gene targeting sylvie schneider-maunoury mary lyon centre jean-baptiste renaud cas9 rna-guided endonucleases jean-paul concordet integrase-defective lentiviral vectors crispr/cas systems silico predictive modeling avenir—anr-ii-inbs-0014 rna-guided cas9 nucleases genotype-specific cancer liabilities grants nih/nhgri 5u41hg002371-15 genome-wide cas9/grna cd1 pseudo-pregnant females jean-baptiste penigault evidence-based recommendations exist crispr-cas9 nucleases revealed article download pdf genome-wide target specificities specific opportunistic pathogen-free crispr-cas nucleases api-key gratefully provided crispr-cas system true positives + false negatives efficient genome editing crispr-cas9 editing crispr/cas9 guide efficiency moreno-mateos scores perform target search parameters receiver-operating characteristic analysis find crispr-induced modifications 23-bp-long guide sequence flexible guide-rna design tw/~cjlin/libsvm/copyright true positives + false positives assay background information highest moreno-mateos score crispr-cas9 targeting extremely gc-rich guides genome-wide profiling
Questions {❓}
- 4 high enough to reduce the number of guides in practice?
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headline:Evaluation of off-target and on-target scoring algorithms and integration into the guide RNA selection tool CRISPOR
description:The success of the CRISPR/Cas9 genome editing technique depends on the choice of the guide RNA sequence, which is facilitated by various websites. Despite the importance and popularity of these algorithms, it is unclear to which extent their predictions are in agreement with actual measurements. We conduct the first independent evaluation of CRISPR/Cas9 predictions. To this end, we collect data from eight SpCas9 off-target studies and compare them with the sites predicted by popular algorithms. We identify problems in one implementation but found that sequence-based off-target predictions are very reliable, identifying most off-targets with mutation rates superior to 0.1 %, while the number of false positives can be largely reduced with a cutoff on the off-target score. We also evaluate on-target efficiency prediction algorithms against available datasets. The correlation between the predictions and the guide activity varied considerably, especially for zebrafish. Together with novel data from our labs, we 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. We 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, we 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.
datePublished:2016-07-05T00:00:00Z
dateModified:2016-07-05T00:00:00Z
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Efficiency Score
Genome Editing
Specificity Score
Guide Sequence
Protospacer Adjacent Motif
Animal Genetics and Genomics
Human Genetics
Plant Genetics and Genomics
Microbial Genetics and Genomics
Bioinformatics
Evolutionary Biology
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headline:Evaluation of off-target and on-target scoring algorithms and integration into the guide RNA selection tool CRISPOR
description:The success of the CRISPR/Cas9 genome editing technique depends on the choice of the guide RNA sequence, which is facilitated by various websites. Despite the importance and popularity of these algorithms, it is unclear to which extent their predictions are in agreement with actual measurements. We conduct the first independent evaluation of CRISPR/Cas9 predictions. To this end, we collect data from eight SpCas9 off-target studies and compare them with the sites predicted by popular algorithms. We identify problems in one implementation but found that sequence-based off-target predictions are very reliable, identifying most off-targets with mutation rates superior to 0.1 %, while the number of false positives can be largely reduced with a cutoff on the off-target score. We also evaluate on-target efficiency prediction algorithms against available datasets. The correlation between the predictions and the guide activity varied considerably, especially for zebrafish. Together with novel data from our labs, we 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. We 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, we 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.
datePublished:2016-07-05T00:00:00Z
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Efficiency Score
Genome Editing
Specificity Score
Guide Sequence
Protospacer Adjacent Motif
Animal Genetics and Genomics
Human Genetics
Plant Genetics and Genomics
Microbial Genetics and Genomics
Bioinformatics
Evolutionary Biology
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