pyBioPortal

pyBioPortal leverages the cBioPortal REST API to retrieve genomic and clinical cancer data and returns it as Pandas DataFrames for downstream analysis.

Key Features:

• REST API Integration: pyBioPortal interfaces with the cBioPortal REST API to access genomic and clinical data.
• Pandas DataFrame Output: Retrieved data is returned in Pandas DataFrame format for further analysis and visualization in Python.
• Standardized Data Retrieval: The package facilitates retrieval of heterogeneous biological and clinical data in a standardized format.

Scientific Applications:

• Cancer Genomics Research: pyBioPortal enables access to cancer genomic and clinical data for analytical workflows in cancer informatics.
• Reproducible Analysis Workflows: The standardized Pandas DataFrame output promotes reproducible data analysis and visualization pipelines.
• Big Data Biomedical Research: pyBioPortal addresses challenges of accessing and processing large volumes of biomedical data from cBioPortal.

Methodology:

pyBioPortal leverages the cBioPortal REST API to access genomic and clinical data, returning retrieved data as Pandas DataFrames.