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Related Experiment Video

Updated: Jun 23, 2026

Performing Data Mining And Integrative Analysis Of Biomarker in Breast Cancer Using Multiple Publicly Accessible Databases
07:41

Performing Data Mining And Integrative Analysis Of Biomarker in Breast Cancer Using Multiple Publicly Accessible Databases

Published on: May 17, 2019

A web-based platform for mining pancreatic expression datasets.

Claude Chelala1, Nicholas R Lemoine, Stephan A Hahn

  • 1Centre for Molecular Oncology, Institute of Cancer and CR-UK Clinical Centre, Barts and The London School of Medicine (QMUL), London, UK. Claude.Chelala@cancer.org.uk

Pancreatology : Official Journal of the International Association of Pancreatology (IAP) ... [Et Al.]
|May 20, 2009
PubMed
Summary
This summary is machine-generated.

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A new online database offers 7,636 gene expression measurements for pancreatic cancer research. This tool aids in understanding pancreatic cancer

Area of Science:

  • Genomics
  • Proteomics
  • Systems Biology

Background:

  • The pancreatic expression database is a new, freely available web tool.
  • It contains 7,636 gene expression measurements from pancreatic cancer, precursor lesions (PanINs), and chronic pancreatitis.

Purpose of the Study:

  • To enable mining of publicly available genomic and proteomic data in the pancreatic field.
  • To further understand the complex basis of pancreatic cancer through systems biology.

Main Methods:

  • Annotated, integrated pancreatic datasets were stored in a data management system using BioMart technology.
  • The database incorporates 32 datasets and provides examples of usage.
  • Sophisticated query types are available for community use.

Related Experiment Videos

Last Updated: Jun 23, 2026

Performing Data Mining And Integrative Analysis Of Biomarker in Breast Cancer Using Multiple Publicly Accessible Databases
07:41

Performing Data Mining And Integrative Analysis Of Biomarker in Breast Cancer Using Multiple Publicly Accessible Databases

Published on: May 17, 2019

Main Results:

  • The database provides access to 7,636 gene expression measurements.
  • It includes data from various pancreatic cancer types, PanINs, and chronic pancreatitis.
  • The database is built on BioMart technology and public annotations.

Conclusions:

  • Systematic understanding of pancreatic cancer pathobiology is crucial for diagnostics and drug discovery.
  • The database aims to be comprehensive and user-friendly.
  • The pancreatic biology community is invited to provide feedback and submit datasets.