Modelling insertion efficiency for Prime Insertion Experiments

DeepGuide: a tool to predict CRIPR activity

A curated list of awesome resources for genetic engineering.

Flexible pipeline for the detection of OFF-targets from GuideSeq related dataset

Annotate safe regions for gene editing and replace/recode codons.

Accelerate DNA gene editing projects with intuitive, AI-powered CRISPR gRNA design and analysis

An ML classifier built for Life Edit Therapeutics to detect edited vs unedited genes

Gene editor cutting/repair kinetics curve fitting script

Real-Time Evolutionary AI Ecosystem for Intelligent Genomics and Bioengineering

DGD-Cas9

ML classifier for genome-editing enzymes, assigning nuclease/recombinase/transposase classes that predicts mechanism class and flags IS110-family composite recombinases overlooked by existing tools.

AI-assisted platform for designing CRISPR experiments — from target selection to bench-ready protocols

JCAP CRISPR Mixscape Pipeline is a user-friendly R Shiny application for interactive single-cell CRISPR screen analysis. It enables rapid quality control, visualization, and differential expression discovery using Mixscape and Seurat, all in a point-and-click environment. Ideal for researchers working with Perturb-seq data.

基于多智能体协同的高通量基因编辑（ABE/CBE/PE/Cas/sgRNA）效率预测与任务调度中枢。 | A multi-agent task scheduling framework for high-throughput gene editing efficiency prediction, powered by LLM and Deep Learning.

Profluent — AI-designed proteins for therapeutics, gene editing, agriculture, and industrial enzymes