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Accurate analysis of genuine CRISPR editing events with ampliCan.
Labun, Kornel; Guo, Xiaoge; Chavez, Alejandro; Church, George; Gagnon, James A; Valen, Eivind.
Afiliação
  • Labun K; Department of Informatics/Computational Biology Unit, University of Bergen, Bergen 5008, Norway.
  • Guo X; Wyss Institute for Biologically Inspired Engineering, Harvard University, Cambridge, Massachusetts 02115, USA.
  • Chavez A; Department of Genetics, Harvard Medical School, Boston, Massachusetts 02115, USA.
  • Church G; Department of Pathology and Cell Biology, Columbia University, New York, New York 10032, USA.
  • Gagnon JA; Wyss Institute for Biologically Inspired Engineering, Harvard University, Cambridge, Massachusetts 02115, USA.
  • Valen E; Department of Genetics, Harvard Medical School, Boston, Massachusetts 02115, USA.
Genome Res ; 29(5): 843-847, 2019 05.
Article em En | MEDLINE | ID: mdl-30850374
We 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.
Assuntos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Sequenciamento de Nucleotídeos em Larga Escala / Taxa de Mutação / Sistemas CRISPR-Cas / Edição de Genes Idioma: En Ano de publicação: 2019 Tipo de documento: Article País de afiliação: Noruega

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Sequenciamento de Nucleotídeos em Larga Escala / Taxa de Mutação / Sistemas CRISPR-Cas / Edição de Genes Idioma: En Ano de publicação: 2019 Tipo de documento: Article País de afiliação: Noruega