Green Listed v2.0: A Web Application for Streamlined Design of Custom CRISPR Screens

Area of Science:

• * Molecular Biology
• * Genomics
• * Bioinformatics

Background:

• * Custom CRISPR screens accelerate hypothesis-driven biological discovery.
• * Designing CRISPR spacer libraries is often complex and resource-intensive.
• * Existing tools may lack user-friendliness or comprehensive downstream analysis support.

Purpose of the Study:

• * To introduce Green Listed v2.0, an upgraded web application for designing custom CRISPR screens.
• * To simplify the design and analysis workflow for CRISPR spacer libraries.
• * To enhance accessibility for users regardless of their computational expertise.

Main Methods:

• * Development of an intuitive graphical user interface (GUI) for web-based access.
• * Implementation of a streamlined workflow for custom CRISPR spacer library design.
• * Integration of downstream analysis support and tools, including a gene synonym tool.

Main Results:

• * Green Listed v2.0 offers a user-friendly platform for designing custom CRISPR libraries.
• * The application provides enhanced library options and optimized output lists.
• * Performance improvements and linked scripts facilitate rational gene set design.

Conclusions:

• * Green Listed v2.0 significantly simplifies the process of custom CRISPR screen design and analysis.
• * The tool democratizes CRISPR screening by supporting users with varying computational backgrounds.
• * This updated platform empowers more efficient and accessible genetic research.