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Cancer genomics (TCGA et al.) via cBioPortal REST API. Retrieve somatic mutations, CNAs, expression, clinical data (survival/stage/treatment) across thousands of studies.
Passed 19 of 21 test cases with the skill, and 14 of 21 without it.
and 5 more in the full report
5 fixed15 passed either way2 still failing0 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 4 test cases the skill fixed. Same model, same prompt, with and without the skill.
Write a Python function to search cBioPortal for studies related to 'lung adenocarcinoma' using query parameters and print each matching study ID and sample count.
| Checked | Without skill | With skill |
|---|---|---|
| Calls GET /studies with keyword query parameter set to lung adenocarcinoma. | Missed | Passed |
The instructions your model reads when the skill loads.
cBioPortal for Cancer Genomics is a public repository of cancer genomics data including TCGA, ICGC, and hundreds of curated studies spanning 100+ cancer types. It provides somatic mutation profiles, copy number alterations (CNA), gene expression, clinical data (survival, stage, treatment history), and methylation data for tens of thousands of patient samples. Data is accessible via a REST API at https://www.cbioportal.org/api/ with no authentication required.
gnomad-database instead when you need population-level variant allele frequencies in healthy individualsopentargets-database; cBioPortal provides the genomic alteration data, not drug interaction annotationsrequests, pandas, matplotlibTP53), cBioPortal study IDs (e.g., tcga_brca), molecular profile IDstime.sleep(0.2) between batch requests for polite accesspip install requests pandas matplotlib
import requests
import pandas as pd
BASE_URL = "https://www.cbioportal.org/api"
def cbio_get(endpoint, params=None):
"""GET request to cBioPortal REST API, returns parsed JSON."""
r = requests.get(f"{BASE_URL}/{endpoint}", params=params,
test cases passed, vs 14 / 21 without
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