Query the DepMap API for Chronos gene effect scores across cancer cell lines.
npx skills add https://github.com/Hung-3008/agusta --skill depmap-hung-3008
Please help me install this Agent Skill. Skill: depmap Source: https://github.com/Hung-3008/agusta/tree/main/.agents/skills/depmap Command: npx skills add https://github.com/Hung-3008/agusta --skill depmap-hung-3008
DepMap data enables systematic analysis of gene dependencies across cancer cell lines to identify essential targets, selective vulnerabilities, and potential synthetic lethal interactions. This skill consolidates guidance, workflow, and code references to perform dependency analysis and biomarker discovery using Chronos scores and DepMap data.
Query DepMap to retrieve gene dependency scores for a target gene across cell lines and analyze cancer-selective dependencies.
High-intent search queries and answers about installing and using this skill.
To find cancer cell line gene dependencies, you query the DepMap API to retrieve Chronos gene effect scores across many cell lines and process them locally with Python requests and pandas to prioritize essential targets.
Synthetic lethality screening identifies genes selectively essential in specific genetic backgrounds. DepMap data supports this by allowing you to correlate Chronos gene dependency scores with mutation, expression, and CNV data across diverse cancer types.
Yes, you can correlate gene dependency scores with genomic features for biomarker discovery. The workflow integrates Chronos gene effect data with DepMap mutation, expression, and CNV datasets to identify selective vulnerabilities by cancer type.
The best way to analyze DepMap datasets for target validation is to use Python requests to query the DepMap API, then process sample info and Chronos gene effect scores with pandas scripts to evaluate cancer-selective dependencies.
Yes, you need pandas and local Python scripts to process DepMap API responses. The workflow requires using Python requests to retrieve Chronos gene effect data and local analysis scripts to parse and analyze the datasets.
swaruplabQuery DepMap Chronos CRISPR scores and gene effects for cancer cell lines.
K-Dense-AIIdentify cancer-specific gene dependencies from DepMap CRISPR Chronos scores.
biomaps-infraQuery DepMap for cancer cell line gene dependency and drug sensitivity data.
qinyan-aiQuery DepMap data for gene dependencies and drug sensitivities in cancer cell lines.
