Gene Editing Toolkit

Design CRISPR guides. Understand Gene Editing Experiments. Analyze Genome-Scale Screening Data.

Overview

Modular data infrastructure to engineer gene editing proteins and screen the genome.

Answer Biological Questions

  • Search for potential off-target sites of RNA-guided endonucleases

  • Quantify insertions, mutations and deletions from genome editing proteins

  • Identify important genes from CRISPR-Cas9 knockout screens

Experimental Flow

Genome Scale gRNA Design with GPUs

Scan the entire genome with accelerated hardware using Cas-OFFinder

Explore Off-Target Statistics with AI-enabled Plots

Summarize information about mismatches and off-target locations with custom visualizations accessible to bench scientists.

Validate Editing Behavior of Single Guides with CRISPResso2

Expose CRISPResso2 to biologists with a graphical interface

Display the full suite of parameters for different types of editors and experiment designs.

Mount S3 / GCP buckets, integrate with Illumina Basespace, drag and drop from laptops, deploy custom upload scripts from local servers

Access the familiar CRISPResso2 HTML report to inspect editing behavior and visualize the distribution of alleles

Explore CRISPResso2 Results with AI-enabled Dashboards

Adapt gold-standard academic tools to the specific scientific needs of your teams. Programmable dashboards + rich graphical controls for scientists.

Analyze Genome Wide CRISPR Screens

Identify important genes from large scale perturbation experiments with MAGeCK.

View a workflow graph to track progress and inspect historic logs for compliance and troubleshooting.

Access and explore your data in a Finder-like filesystem.

Build plots and code transform blocks to manipulate statistics for bespoke biology.

Looking for an easier solution?

Eliminate manual clicking and user error with an automated plotting solution for your lab.

Access the leading data platform for biology.

  • The best cloud platform for processing of biological data
  • Save over 72% vs. AWS, GCP, and Azure
  • Trusted by more than 4,000 scientists
  • Built for biological data
  • Start today.