A central research portal for mining pancreatic clinical and molecular datasets and accessing biobanked samples.

ABSTRACT:

Objectives

We present Pancreas Genome Phenome Atlas (PGPA) as a resource for the mining and analysis of pancreatic -omics datasets, and demonstrate the biological interpretations possible due to this dynamic analytics hub accommodating an extensive range of publicly available datasets.

Methods

Clinical and molecular datasets from four primary sources are included (The Cancer Genome Atlas, International Cancer Genome Consortium, Cancer Cell Line Encyclopaedia, Genomics Evidence Neoplasia Information Exchange), which form the foundation of -omics profiling of pancreatic malignancies and related lesions (n = 7760 specimens). Several user-friendly analytical tools to integrate and explore molecular data derived from these primary specimens and cell lines are available. Crucially

SUBMITTER: Oscanoa J 

PROVIDER: S-EPMC12523802 | biostudies-literature | 2025 Oct

REPOSITORIES: biostudies-literature