Genome engineering has a transformative impact on a wide range of human health, environmental and agricultural applications.

We developed the GT-Scan suite, a web service for a wide range of genome engineering applications, which is aimed at making the process more reliable and less time consuming. We think of GT-Scan as "the search engine for the genome", finding the right editing spot for specific genes.

Value Proposition

First time - every time.

Enables researchers to find the optimal editing spot among the 3 billion letters in the genome. Improves accuracy by 30 percent compared to current state-of-the-art tools. Is SNP-aware to cater for personalized or population-level optimization.

Broad application domains.

Covers a wide range of species including humans, plants, livestock and invasive species. Uses endonucleases (Cas9, Cas12a) as well as knock-out and knock-in applications (HDR, base editing).

Cutting Edge technology.

Reduces runtime from weeks to seconds compared to other approaches. Uses machine learning to guide CRISPR (genome editing) to the correct locations in the genome.

Pricing

DIY
Free
  • WebService access
  • Reference data
  • Documentation access
WebService
SaaS
Coming soon
  • MarketPlace service
  • Full functionality
  • Own reference data
  • Managed updates
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R&D Support
On request
  • Custom implementation
  • Bespoke solutions
  • Poduct workshops
  • Managed updates
  • Full support
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Do business with us

Let us be your innovation catalyst by helping you understand the health space, solve your pain-points and  innovate to keep you ahead. Read more


Our Approach

By applying digital genome engineering techniques, we will help to enable precision health applications. These include tailoring immune systems to fight infections diseases (through immuno-engineering) or correcting disease causing mutations through gene-therapy applications.

Our Solutions

  • GT-Scan: flexible and high-throughput evaluation of off-targets
  • GT-Scan2: chromatin aware prediction of CRISPR-Cas9 on-target efficiency
  • TUSCAN: high-throughput, sequence based prediction of CRISPR-Cas9 on-target efficiency
  • CUNE: Sequence based prediction of HDR mediated knock-in efficiency
  • VARSCOT: Variant aware off-target prediction and evaluation
  • GOANA: high-throughput, generalizable measurement of on-target efficiency for genome editing applications

Application cases

  • Functional Genomics where we can create laboratory models with more precision, which supports disease research. Read more.
  • Gene Therapy where higher precision and sensitivity is required. Read more.
  • Diagnostics or Sensing where CRISPR-diagnostics technology can be used to detect diseases or environmental threats. Read more.
  • Biosecurity where invading species need to be contained with robust, safe and efficient means. Read more.

Accessibility

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Interests

Wilson et al. VARSCOT: variant-aware detection and scoring enables sensitive and personalized off-target detection for CRISPR-Cas9. BMC Biotechnology 2019

O'Brien et al. Unlocking HDR-mediated Nucleotide Editing by identifying high-efficiency target sites using machine learning Scientific Reports 2019

Wilson et al. High Activity Target-Site Identification Using Phenotypic Independent CRISPR-Cas9 Core Functionality The CRISPR Journal 2018

Wilson et al. The current state and future of CRISPR-Cas9 gRNA design tools Frontiers in Pharmacology 2018

O'Brien et al. GT-Scan: Identifying unique genomic targets Bioinformatics 2014