title: Genome editing assessment using CRISPR Genome Analyzer (CRISPR-GA).
abstract: CONCLUSIONS
  Clustered regularly interspaced short palindromic repeats (CRISPR)-based technologies have revolutionized human genome engineering and opened countless possibilities to basic science, synthetic biology and gene therapy. Albeit the enormous potential of these tools, their performance is far from perfect. It is essential to perform a posterior careful analysis of the gene editing experiment. However, there are no computational tools for genome editing assessment yet, and current experimental tools lack sensitivity and flexibility. We present a platform to assess the quality of a genome editing experiment only with three mouse clicks. The method evaluates next-generation data to quantify and characterize insertions, deletions and homologous recombination. CRISPR Genome Analyzer provides a report for the locus selected, which includes a quantification of the edited site and the analysis of the different alterations detected. The platform maps the reads, estimates and locates insertions and deletions, computes the allele replacement efficiency and provides a report integrating all the information.
  
  
  METHODS
  CRISPR-GA Web is available at http://crispr-ga.net. Documentation on CRISPR-GA instructions can be found at http://crispr-ga.net/documentation.html
  
  
  BACKGROUND
  mguell@genetics.med.harvard.edu.
authors.affiliation: Department of Genetics and Biological and Biomedical Sciences Program, Harvard Medical School, Boston, MA 02115 and Wyss Institute for Biologically Inspired Engineering, Harvard University, Cambridge, MA 02138, USA.
authors.forename: Marc
authors.initials: M
authors.lastname: Güell
authors.affiliation: Department of Genetics and Biological and Biomedical Sciences Program, Harvard Medical School, Boston, MA 02115 and Wyss Institute for Biologically Inspired Engineering, Harvard University, Cambridge, MA 02138, USA Department of Genetics and Biological and Biomedical Sciences Program, Harvard Medical School, Boston, MA 02115 and Wyss Institute for Biologically Inspired Engineering, Harvard University, Cambridge, MA 02138, USA.
authors.forename: Luhan
authors.initials: L
authors.lastname: Yang
authors.affiliation: Department of Genetics and Biological and Biomedical Sciences Program, Harvard Medical School, Boston, MA 02115 and Wyss Institute for Biologically Inspired Engineering, Harvard University, Cambridge, MA 02138, USA Department of Genetics and Biological and Biomedical Sciences Program, Harvard Medical School, Boston, MA 02115 and Wyss Institute for Biologically Inspired Engineering, Harvard University, Cambridge, MA 02138, USA.
authors.forename: George M
authors.initials: GM
authors.lastname: Church
mesh_terms: D000483:Alleles; D064112:Clustered Regularly Interspaced Short Palindromic Repeats / Q000235:genetics*; D005818:Genetic Engineering; D015894:Genome, Human / Q000235:genetics; D023281:Genomics / Q000379:methods*; D059014:High-Throughput Nucleotide Sequencing; D006801:Humans; D014584:User-Computer Interface