Pathway Commons Data Download ------------------------------ Directory Structure: For each data format (described below), we provide two directories: * by_source: one file per data source, e.g. one file for Reactome, one for NCI-Nature, etc. * by_organism: one file per organism, e.g. one file for human, one for mouse, etc. If you have any questions, please contact us at: pc-info@pathwaycommons.org Pathway Commons Data is available in the following file formats: BioPAX OWL (RDF/XML) -------------------- BioPAX is the native format of Pathway Commons and offers complete access to all the details that can be stored in the system. This format is ideal for users wishing to import all pathway data for an organism into a local database, or to access specific data not available in other formats. Since BioPAX is defined using the standard OWL XML language, this export can be used with RDF / OWL tools such as reasoners or triplestores. All pathways and interactions within Pathway Commons are available in BioPAX Level 2 (ref BioPAX paper). Due to the richness of representation in BioPAX, reading and using such a large BioPAX document requires knowledge of the format and software development tools available for processing it, such as Paxtools, a Java library for working with BioPAX (http://www.biopax.org/paxtools.php). Gene Set Enrichment Formats (GSEA - MSigDB GMT) ----------------------------------------------- Over-representation analysis (ORA) is frequently used to assess the statistical enrichment of known gene sets (e.g. pathways) in a discrete or ranked list of genes. This type of analysis is useful for summarizing large gene lists and is commonly applied to genomics data sets. One popular software for analyzing ranked gene lists is Gene Set Enrichment Analysis (GSEA). The Gene sets used by GSEA are stored for convenience in the Molecular Signature Database (MSigDB) in the Gene Matrix Transposed file format (*.gmt). This is the main tab-delimited file format specified by the Broad Molecular Signature Database (http://www.broad.mit.edu/gsea/msigdb/). We provide two versions of this file format. In the first, all participants in the pathway are specified as official gene symbols (if an official gene symbol is not available, the participant will not be exported). In the second, all participants are specified as Entrez Gene IDs (if an Entrez Gene ID is not available, the participant will not be exported). All participants for a pathway must come from the same species as the pathway. Therefore some participants from cross-species pathways are removed. Exporting to the MSigDB format will enable computational biologists to use pathway commons data within gene set enrichment algorithms, such as GSEA. Available for all pathways within Pathway Commons (only from pathway database sources, not interaction database sources). Full data format details are available at: Broad GSEA Wiki, http://www.broad.mit.edu/cancer/software/gsea/wiki/index.php/Data_formats. Note: Issues relating to Reactome gene sets due to incorrect traversal into sub-pathways during gene set creation has been repaired. If you have any questions, please contact us at pc-info@pathwaycommons.org. Pathway Commons Gene Set Format ------------------------------- Similar to the MSigDB format (see above), except that all participants are micro-encoded with multiple identifiers. Each participant is specified as: CPATH_ID:RECORD_TYPE:NAME:UNIPROT_ACCESION:GENE_SYMBOL:ENTREZ_GENE_ID. Also available for all explicit pathways within Pathway Commons (only from pathway database sources, not interaction database sources). All participants for a pathway must come from the same species as the pathway. Therefore some participants from cross-species pathways are removed. Simple Interaction Format (SIF) ------------------------------- Many network analysis algorithms require pairwise interaction networks as input. A BioPAX network often contains more complex relationships with multiple participants, such as biochemical reactions. To make it easier to use all of the pathway information in Pathway Commons with typical network analysis tools, we developed a set of rules to reduce BioPAX interactions to pairwise relationships. Since SIF interactions are always binary it is not possible to fully represent all of BioPAX, thus this translation is lossy in general. Nonetheless, the SIF network is useful for those applications that require pairwise interaction input. SIF format can be easily imported into popular network analysis tools, like Cytoscape (http://cytoscape.org/cgi-bin/moin.cgi/Cytoscape_User_Manual/Network_Formats). All participants will be specified as GENE_SYMBOL. If an official gene symbol is not available for all members of the interaction, the interaction will not be exported. This is why fewer species may be listed here as compared to other file formats. This format does not contain any cross-species interactions and is available for all pathways and interactions within Pathway Commons. Tab Delimited Network --------------------- Similar to the basic SIF export, except that each export is specified with two files. Each file is tab-delimited, multi-column. The first file is SIF (using CPATH_ID instead of GENE_SYMBOL) plus edge attributes. Current edge attributes are the Participant-A GENE_SYMBOL, Participant-B GENE_SYMBOL, interaction data source and PubMed ID. The second file contains participant CPATH_ID followed by node attributes. Current node attributes are GENE_SYMBOL, UNIPROT_ACCESSION, ENTREZ_GENE_ID, CHEBI_ID, NODE_TYPE, and Organism (NCBI taxonomy id). If an attribute cannot be determined, "NOT_SPECIFIED" will be used. This format is suitable for Cytoscape - Attribute Table import and loading into Excel. To prevent an unsuccessful import into Cytoscape due to missing attribute values, users should specify during import that all columns are strings. This format is available for all pathways and interactions within Pathway Commons. Availability ------------ Pathway Commons redistributes data from primary databases. Please make sure to cite all primary sources you use to support the curation teams that make this data available. All data is made available under original license terms of the primary databases.