The aim of this project is the creation of a biological pathway community portal (PancCanNet) as a unified knowledge base for pancreatic cancer. The portal enables expert clinical researchers (medical and scientific) to add and curate pathway content and allows programmatic access for downstream knowledge integration, data analysis, and data visualization. PancCanNet provides a resource for determining the functional impact of multi-omics experimental data with the aim to understand the mechanisms of treatment resistance, discover novel biomarkers and develop personal treatment options for pancreatic cancer patients.
The PancCanNet pathway portal is maintained on the community curated pathway database WikiPathways.
- Portal: https://www.wikipathways.org/index.php/Portal:PancCanNet
- Pathways: xx pathways from xx contributors
- License: CC0
- Availability:
- GPML files: Download
- Pathway-gene network: xxx
If you are interested in joining our intiative and contribute to the pathway collection or request pathways to be added, please do not hesistate to contact us!
- Analysis workflow 1: Exploration of the PancCanNet pathway collection
- Analysis workflow 2: Analysing a pancreatic cancer gene expression dataset
- Analysis workflow 3: Analysing a pancreatic cancer immune panel dataset (PPI network + pathway information)
- Analysis workflow 4: Drug-target identification
- Analysis workflow 5: Network diffusion to find affected pathways
We organized two different workshops:
- Pathway curation
- Pathway analysis (automation in R)
The PancCanNet project is a collaboration between Erasmus MC Rotterdam, Maastricht University and Omnigen.
The PancCanNet logo includes an icon made by Freepik from www.flaticon.com.