depmap

Retrieve CRISPR Chronos gene dependency scores from the DepMap portal to rank gene essentiality across cancer lineages and detect selectively vulnerable cell lines. Apply thresholded dependency interpretation using Chronos cutoffs to prioritize therapeutic targets.

Synthetic lethality screening tests whether genomic context like mutation status predicts gene dependency. By associating mutation phenotypes with gene effect scores, you can validate therapeutic targets and support biomarker discovery pairing strategies.

Yes, you can perform large-scale pan-cancer essentiality analyses using optional DepMap download-based datasets. Retrieve genome-wide gene effect scores across many cancer cell line annotations to assess essentiality and identify co-essentiality correlations.

Compute co-essentiality by correlating gene effect dependency profiles across cell lines. Correlated dependency profiles generate hypotheses about pathway relationships or protein complex interactions based on shared essentiality patterns.

You need the DepMap portal or API usage to retrieve specific gene dependency scores for targeted queries. For broader analyses, optional download-based datasets support large-scale evaluation across cell line annotations without direct API calls.