Query DepMap for cancer cell line gene dependency and drug sensitivity data.
npx skills add https://github.com/biomaps-infra/blender-opencode --skill bio-depmap
Please help me install this Agent Skill. Skill: bio-depmap Source: https://github.com/biomaps-infra/blender-opencode/tree/main/.opencode/skills/bio-depmap Command: npx skills add https://github.com/biomaps-infra/blender-opencode --skill bio-depmap
This Skill provides access to comprehensive cancer cell line dependency and drug sensitivity data, enabling researchers to identify cancer-specific vulnerabilities and potential therapeutic targets.
Use the bio-depmap skill to find cell lines selectively dependent on the gene KRAS in lung cancer.
High-intent search queries and answers about installing and using this skill.
To find cancer cell lines with high gene dependency scores for target validation, query the DepMap portal to retrieve CRISPR Chronos or DEMETER2 gene effect profiles across hundreds of cell lines. This identifies cancer-specific vulnerabilities essential for validating potential oncology drug targets.
Synthetic lethality analysis identifies genes essential only in the presence of specific mutations. DepMap supports this by allowing you to correlate gene mutations or expression with drug sensitivity and dependency scores to discover cancer-specific vulnerabilities.
Yes, you can analyze drug sensitivity data alongside gene mutations for biomarker discovery. The Skill enables correlating PRISM drug sensitivity data with gene mutation or expression profiles across cancer cell lines to identify predictive biomarkers.
Retrieve CRISPR gene effect profiles for KRAS-mutant lung cancer cell lines by querying the DepMap data via API or local data file downloads. This filters cell line dependency scores to investigate if specific genes are essential in KRAS-mutant contexts.
Yes, the Skill supports downloading omics data for local analysis. It facilitates access to comprehensive cancer cell line dependency and drug sensitivity datasets, including CRISPR, DEMETER2, PRISM, and omics data, via API or local file downloads.
The best way to identify cancer-specific vulnerabilities using DepMap data is to cross-reference gene dependency scores with omics profiles. Comparing CRISPR or RNAi gene effect scores against mutation states reveals selective dependencies and potential therapeutic targets.
LeonChaoXQuery DepMap gene dependency scores to identify essential genes in cancer cell lines.
felixboehmQuery DepMap for gene dependency scores and drug sensitivity data.
Zeyuyang-0420Query gene dependency scores and drug sensitivity data across cancer cell lines.
yf8578Query DepMap for gene dependency scores and drug sensitivity across cancer cell lines.
