Networks for Cancer Genomics Analysis
This page provides direct download to several interaction networks that may be useful in Cancer Genomics Analysis.
Networks are derived from Pathway Commons.
Binary or Pairwise Interaction Networks
Binary or pairwise interaction networks consist of gene nodes and edge interactions only, and do not represent the full semantic complexity of biological pathways. They can, however, be useful for many different types of network analyses in cancer genomics.
BioPax is a standard language that aims to enable integration, exchange, visualization and analysis of biological pathway data. Unlike the pairwise interactions above, BioPAX is able to represent the rich biological complexity of multiple types of biological pathways, including metabolic pathways, molecular interactions, signaling pathways (including molecular states and generics), gene regulation and genetic interactions.
All data from the NCI-Nature Pathway Interaction Database, Reactome, and the MSKCC Cancer Cell Map can be downloaded in BioPAX format:
Additional downloads in BioPAX format are available from Pathway Commons.