{"ID":"C1","Category":"C1","Subcategory":"N/A","Category_Description":"Gene sets corresponding to each human chromosome and each cytogenetic band","Subcategory_Description":"No subcategory available."}
{"ID":"C2-CGP","Category":"C2","Subcategory":"CGP","Category_Description":"Gene sets in this collection are curated from various sources, including online pathway databases and the biomedical literature. Many sets are also contributed by individual domain experts.","Subcategory_Description":"Chemical and genetic perturbations"}
{"ID":"C2-CP","Category":"C2","Subcategory":"CP","Category_Description":"Gene sets in this collection are curated from various sources, including online pathway databases and the biomedical literature. Many sets are also contributed by individual domain experts.","Subcategory_Description":"Additional currated pathways"}
{"ID":"C2-CP:BIOCARTA","Category":"C2","Subcategory":"CP:BIOCARTA","Category_Description":"Gene sets in this collection are curated from various sources, including online pathway databases and the biomedical literature. Many sets are also contributed by individual domain experts.","Subcategory_Description":"Canonical Pathways gene sets derived from the BioCarta pathway database."}
{"ID":"C2-CP:KEGG","Category":"C2","Subcategory":"CP:KEGG","Category_Description":"Gene sets in this collection are curated from various sources, including online pathway databases and the biomedical literature. Many sets are also contributed by individual domain experts.","Subcategory_Description":"Canonical Pathways gene sets derived from the KEGG pathway database."}
{"ID":"C2-CP:PID","Category":"C2","Subcategory":"CP:PID","Category_Description":"Gene sets in this collection are curated from various sources, including online pathway databases and the biomedical literature. Many sets are also contributed by individual domain experts.","Subcategory_Description":"Canonical Pathways gene sets derived from the Pathway Interaction Database (PID) pathway database."}
{"ID":"C2-CP:REACTOME","Category":"C2","Subcategory":"CP:REACTOME","Category_Description":"Gene sets in this collection are curated from various sources, including online pathway databases and the biomedical literature. Many sets are also contributed by individual domain experts.","Subcategory_Description":"Canonical Pathways gene sets derived from the Reactome pathway database."}
{"ID":"C3-MIR","Category":"C3","Subcategory":"MIR","Category_Description":"Gene sets representing potential targets of regulation by transcription factors or microRNAs. The sets consist of genes grouped by elements they share in their non-protein coding regions. The elements represent known or likely cis-regulatory elements in promoters and 3'-UTRs.","Subcategory_Description":"All miRNA target prediction gene sets. Combined superset of both miRDB prediction methods and legacy sets."}
{"ID":"C3-TFT","Category":"C3","Subcategory":"TFT","Category_Description":"Gene sets representing potential targets of regulation by transcription factors or microRNAs. The sets consist of genes grouped by elements they share in their non-protein coding regions. The elements represent known or likely cis-regulatory elements in promoters and 3'-UTRs.","Subcategory_Description":"All transcription factor target prediction gene sets. Combined superset of both GTRD prediction methods and legacy sets."}
{"ID":"C4-CGN","Category":"C4","Subcategory":"CGN","Category_Description":"Computational gene sets defined by mining large collections of cancer-oriented microarray data.","Subcategory_Description":"Gene sets defined by expression neighborhoods centered on 380 cancer-associated genes. This collection is described in Subramanian, Tamayo et al. 2005"}
{"ID":"C4-CM","Category":"C4","Subcategory":"CM","Category_Description":"Computational gene sets defined by mining large collections of cancer-oriented microarray data.","Subcategory_Description":"Gene sets defined by Segal et al. 2004. Briefly, the authors compiled gene sets ('modules') from a variety of resources such as KEGG, GO, and others. By mining a large compendium of cancer-related microarray data, they identified 456 such modules as significantly changed in a variety of cancer conditions."}
{"ID":"C5-BP","Category":"C5","Subcategory":"BP","Category_Description":"Gene sets that contain genes annotated by the same GO term.","Subcategory_Description":"Gene sets derived from the GO Biological Process Ontology."}
{"ID":"C5-CC","Category":"C5","Subcategory":"CC","Category_Description":"Gene sets that contain genes annotated by the same GO term.","Subcategory_Description":"Gene sets derived from the GO Cellular Component Ontology."}
{"ID":"C5-MF","Category":"C5","Subcategory":"MF","Category_Description":"Gene sets that contain genes annotated by the same GO term.","Subcategory_Description":"Gene sets derived from the GO Molecular Function Ontology."}
{"ID":"C6","Category":"C6","Subcategory":"N/A","Category_Description":"Gene sets that represent signatures of cellular pathways which are often dis-regulated in cancer. The majority of signatures were generated directly from microarray data from NCBI GEO or from internal unpublished profiling experiments involving perturbation of known cancer genes.","Subcategory_Description":"No subcategory available."}
{"ID":"C7","Category":"C7","Subcategory":"N/A","Category_Description":"Gene sets that represent cell states and perturbations within the immune system. The signatures were generated by manual curation of published studies in human and mouse immunology.","Subcategory_Description":"No subcategory available."}
{"ID":"H","Category":"H","Subcategory":"N/A","Category_Description":"Hallmark gene sets summarize and represent specific well-defined biological states or processes and display coherent expression. These gene sets were generated by a computational methodology based on identifying overlaps between gene sets in other MSigDB collections and retaining genes that display coordinate expression.","Subcategory_Description":"No subcategory available."}