Not sure where to start?
Manual
Source on Github
Examples
  • NHEJ (Non-homologous end joining)
  • Multiple alleles
  • Base-editors
  • HDR (Homology directed repair)
  • Prime editing
  • Batch mode
CRISPRessoPro
  • Faster computation resources
  • Priority job queues
  • Long-term report storage
  • Advanced report & plot controls
Join the Waitlist
CRISPResso2

CRISPResso2

Analysis of genome editing outcomes from deep sequencing data

Not sure where to start?
Manual
Source on Github
Examples
  • NHEJ (Non-homologous end joining)
  • Multiple alleles
  • Base-editors
  • HDR (Homology directed repair)
  • Prime editing
  • Batch mode
CRISPRessoPro
  • Faster computation resources
  • Priority job queues
  • Long-term report storage
  • Advanced report & plot controls
Join the Waitlist
CRISPRessoPro Log In

Experimental design

Sample name
Amplicon
sgRNA
ACGT GsgRNA cut point plot window quantification window excluded bp window inside excluded bp Scroll to zoom, drag to slide.
Window from
bp
bp
bp
bp
bp
Coordinates set the window. Center places the cut point — where reads align and the plots center.
An HDR amplicon is set, so these coordinates will be ignored — CRISPResso cannot map them onto the HDR reference. The sgRNA cut-site window above will be used for the whole run.
Sample 1
Sample Name
Amplicon Name/s
Minimum homology
Base editing
Prime editing
pegRNA spacer sequence
pegRNA extension sequence
pegRNA extension quantification window size
pegRNA scaffold minimum match length
Nicking sgRNA
Scaffold sequence
Override prime edited reference sequence
HDR
Exon specification
Quality filtering and trimming
Minimum average read quality greater than
Minimum single bp quality greater than
Replace bases with N that have a quality lower than
Additional Parameters

Add extra CRISPResso parameters not available in the options above.

Email

By clicking the submit button, I agree to use CRISPResso2 in accordance with Partners' Terms and Conditions.

For analysis of amplicon pools, WGS data, and comparing multiple conditions, command line utilities for running CRISPResso2 on your machine or cluster are available at: https://github.com/pinellolab/CRISPResso2.