We have developed a new freely available web app for analyzing CRISPR screen data based on the script we published in Henkel et al., and datasets from DepMap.
More info and tutorials will follow, but in the meanwhile test it out here: https://correlate.cmm.se/
This series covers analysis of CRISPR screen data using different free online tools – no coding required. From processing MAGeCK and DepMap data to exploring STRING-db, g:Profiler, Enrichr, geneMANIA, ImmGen, Human Protein Atlas (HPA), cBioPortal, ChatGPT, and vibe-coding GSEA, the series shows how to turn gene lists into biological insights. Although focused on CRISPR screens, all tutorials are equally applicable to other omics datasets such as RNA-seq or proteomics.
Custom CRISPR screens are powerful tools for rapid, hypothesis-driven discovery, but their design is often complex and time-consuming. Green Listed v2.0 simplifies this process with an intuitive workflow for designing custom CRISPR spacer libraries and supports downstream analysis for all users, irrespective of their computational experience. The web application features a user-friendly graphical interface freely accessible at https://greenlisted.cmm.se. Version 2.0 includes significant upgrades to the original 2016 version that were implemented based on user feedback. This includes a new gene synonym tool, expanded library options, optimized output lists, performance improvements, and linked scripts for the rational design of custom CRISPR screen gene sets.
Super proud of the work by Vaishnavi Iyer developing antisense oligonucleotides to modulate T-cell activation. Great collaboration with labs at Karolinska Institutet and NTU, Singapore.