Off-Spotter

Off-Spotter identifies genomic sites that match or nearly match CRISPR/Cas guide RNA (gRNA) sequences to minimize off-target effects and optimize gRNA specificity.


Key Features:

  • Exhaustive Identification: Identifies all genomic sites that match or nearly match a provided gRNA sequence while enforcing protospacer adjacent motif (PAM) requirements.
  • Algorithmic Efficiency: Implements CPU-optimized algorithmic strategies to achieve high performance without relying on GPUs.
  • Flexible Seed Definition: Allows dynamic specification of seed region location and length for tailored assessment of target specificity.
  • Comprehensive Output: Produces a histogram of potential off-target sites by mismatch count and reports genomic coordinates, links to human genome browsers, local genomic annotations, and GC content for each site.

Scientific Applications:

  • gRNA optimization for CRISPR/Cas gene editing: Supports selection of gRNAs with reduced off-target risk to improve specificity in gene editing experiments.
  • Off-target profiling: Enables exhaustive identification and profiling of potential off-target sites across genomes.
  • Research and therapeutic development: Facilitates design decisions that support basic research and therapeutic applications requiring precise genetic modifications.

Methodology:

Performs exhaustive search for exact and near matches to input gRNA sequences subject to PAM constraints; supports user-defined seed region location and length; uses CPU-based algorithmic strategies rather than GPU acceleration; generates mismatch-count histograms and outputs genomic coordinates, genome browser links, local annotations, and GC content.

Topics

Details

Tool Type:
web application
Operating Systems:
Linux, Windows, Mac
Programming Languages:
C++, C
Added:
8/3/2017
Last Updated:
11/25/2024

Operations

Publications

Pliatsika V, Rigoutsos I. “Off-Spotter”: very fast and exhaustive enumeration of genomic lookalikes for designing CRISPR/Cas guide RNAs. Biology Direct. 2015;10(1):4. doi:10.1186/s13062-015-0035-z. PMID:25630343. PMCID:PMC4326336.

Documentation

Links