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dc.contributor.authorLabun, Kornel
dc.contributor.authorGuo, Xiaoge
dc.contributor.authorChavez, Alejandro
dc.contributor.authorChurch, George M.
dc.contributor.authorGagnon, James A.
dc.contributor.authorValen, Eivind
dc.date.accessioned2020-05-08T07:46:26Z
dc.date.available2020-05-08T07:46:26Z
dc.date.issued2019
dc.PublishedLabun K, Guo, Chavez, Church GM, Gagnon JA, Valen E. Accurate analysis of genuine CRISPR editing events with ampliCan. Genome Research. 2019;29(5):843-847eng
dc.identifier.issn1549-5469en_US
dc.identifier.issn1088-9051en_US
dc.identifier.urihttps://hdl.handle.net/1956/22134
dc.description.abstractWe present ampliCan, an analysis tool for genome editing that unites highly precise quantification and visualization of genuine genome editing events. ampliCan features nuclease-optimized alignments, filtering of experimental artifacts, event-specific normalization, and off-target read detection and quantifies insertions, deletions, HDR repair, as well as targeted base editing. It is scalable to thousands of amplicon sequencing–based experiments from any genome editing experiment, including CRISPR. It enables automated integration of controls and accounts for biases at every step of the analysis. We benchmarked ampliCan on both real and simulated data sets against other leading tools, demonstrating that it outperformed all in the face of common confounding factors.en_US
dc.language.isoengeng
dc.publisherCold Spring Harbor Laboratory Pressen_US
dc.rightsAttribution CC BYeng
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/eng
dc.titleAccurate analysis of genuine CRISPR editing events with ampliCanen_US
dc.typePeer reviewed
dc.typeJournal article
dc.date.updated2020-01-10T12:08:41Z
dc.description.versionpublishedVersionen_US
dc.rights.holderCopyright 2019 Labun et al.en_US
dc.identifier.doihttps://doi.org/10.1101/gr.244293.118
dc.identifier.cristin1722037
dc.source.journalGenome Research


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