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CRISPR/Cas9 Off-target Prediction and Identification Tool CROP-IT


Assists biologists in designing CRISPR/CAS9 sgRNAs, by predicting the off-target sites and ranking them according to the chances of occurrence. Unlike existing prediction programs that solely use DNA sequence information; CROP-IT integrates whole genome level biological information from existing Cas9 binding and cleavage data sets. Utilizing whole-genome chromatin state information from 125 human cell types further enhances its computational prediction power.

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CROP-IT classification

CROP-IT specifications

Web user interface
Input data:
Target sequence
Restrictions to use:
Computer skills:

CROP-IT support


  • Mazhar Adli <>


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University of Virginia, School of Medicine, Department of Biochemistry and Molecular Genetics, Jordan Hall, Charlottesville, VA, USA; University of Virginia, Department of Computer Science, Charlottesville, VA, USA; University of Virginia, Center for Public Health Genomics, Charlottesville, VA, USA; University of Virginia, Department of Public Health Sciences, Charlottesville, VA, USA

Funding source(s)

University of Virginia School of medicine; Pilot project from NIH P50 DK096373 (Pediatric Center of Excellence in Nephrology grant); V Scholar award from V cancer research foundation

Link to literature

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