AI-Enabled Gene Editing Toolkit
Design CRISPR guides with GPUs // Understand Gene Editing Experiments with AI-powered Plots // Analyze Genome-Scale Screening Data with Programmable Dashboards
The commoditization of programmable gene editing proteins has transformed bioengineering. We live in an age of genetic medicines and genome-scale screens.
We trace a realistic experimental flow on LatchBio, a modular data infrastructure, to design, validate and use CRISPR libraries for large scale perturbation studies:
Designing guide RNAs with clusters of GPUs
Exploring off-target statistics with AI-enabled plotting
Validating the edit behavior of single guides from PCR amplicon data
Analyzing large scale screens and building dashboards to communicate results
Identifying the function of key genes from the screen
Throughout this flow, we will accomplish concrete biological objectives:
Search for potential off-target sites of RNA-guided endonucleases
Quantify insertions, mutations and deletions from genome editing proteins
Identify important genes from CRISPR knockout screens
Genome Scale guide RNA Design with GPUs
Scan the entire genome for off-target locations using Cas-OFFinder in batch on accelerated hardware.
Access the underlying code and extend to bespoke biology.
Explore Off-Target Statistics with AI-enabled Plots
Summarize information about mismatches and off-target locations with natural language prompts. Ask questions about files and database tables to distill signal from dense bioinformatics files.
Validate Editing Behavior of Single Guides with CRISPResso2
After generating candidate designs in-silico, it is useful to validate some subset of guides individually with PCR amplicon data. Allow biologists to self-serve CRISPResso2 with a graphical interface. Access the full suite of parameters for different types of editors and experiment designs.
Quickly build dashboards using AI to aggregate statistics from multiple runs and display editing statistics to your scientific teams.
Analyze Genome Wide CRISPR Screens with MAGeCK
After validating single guides, use the entire library to reveal new information about gene function and disease mechanisms. Identify the most important genes from these large scale perturbation experiments using MAGeCK.
Ask important downstream questions about screen statistics and the function of key genes with natural language prompts.
Get More Out of Your Data with LatchBio
Latch is a modular and highly programmable data infrastructure designed to orchestrate wet + dry lab teams for deeper + faster biological consensus.
For more information about the components of the platform, check out our documentation:
We work with over 100 biotechs, ranging from fledgling startup to top 20 biopharma, and invest heavily in support and customer obsession. Our bioinformatics and engineering services team would love to partner with you on your next project.