Streamlining CRISPR Screen Analysis
-
Updated
Apr 1, 2026 - Python
Streamlining CRISPR Screen Analysis
Python CLI tool for CRISPR guide RNA design, annotation, and off-target analysis.
Cutting-edge Full-stack AI Platform delivered as a SaaS (Software as a Service). Built on a robust technology stack, integrated with powerful APIs such as OpenAI and Replicate, offers a seamless experience for code generation, conversation simulation, image creation, music composition, and video generation.
Computational pipeline for designing multiplexed CRISPR-Cas12a diagnostic panels targeting drug-resistant Mycobacterium tuberculosis
A better, faster way to count guides in CRISPR screens.
Deep learning pipeline for identifying drug targets from single-cell CRISPR perturbation data (Perturb-seq). Predicts post-perturbation gene expression to rank candidate therapeutic targets.
Camera-ready repository for REIGN, accepted at the MLGenX 2026 ICLR Workshop, on adaptive experiment design with hierarchical transfer and information gain.
Predict fitness phenotypes and invasion machinery in apicomplexan parasites from protein sequence using ESM-2 embeddings.
Variant impact exploration in a CRISPR-related context (Python/Jupyter). Includes a transparent scoring/ranking demo.
Repository for the code used to generate figures for Zhou et al. and running the BEAN-FUSE pipeline.
Locked reanalysis of matched ORF and CRISPR Cell Painting profiles with manuscript, source data, and compact evidence bundle.
A Snakemake workflow for the design of small guide RNAs (sgRNAs) for CRISPR applications.
Robust and efficient analysis of single-cell perturbation studies
sg5 sgRNA Designer is a command-line tool for designing CRISPR sgRNAs targeting Drosophila melanogaster genes using the SpCas9/NGG system. Fetches gene sequences directly from the Ensembl REST API, scans both strands for NGG PAM sites, scores each candidate guide, and outputs a ranked list.
Variant- and Haplotype-aware CRISPR guide design toolkit
Python module and scripts to analyse CRISPRs and off-targets from a genome
Reproducible Python framework integrating pangenome graphs, deep learning variant prediction, CRISPR design, and genome visualization
Mosquito Networks Taskforce: Data Analysis
Add a description, image, and links to the crispr topic page so that developers can more easily learn about it.
To associate your repository with the crispr topic, visit your repo's landing page and select "manage topics."