MSigDB v7.0 Release Notes
This page describes the changes made to the gene set collections for Release 7.0 of the Molecular Signatures Database (MSigDB). This is a major release that includes substantial updates to gene set annotations, gene symbol mapping procedures, corrections to miscellaneous errors, an overhaul of several collections/subcollections.
Changes to how MSigDB handles Gene Symbol Mappings
Overhaul of externally sourced collections
Overhaul of C1 collection - positional gene sets
Overhaul of C2:CP:Reactome collection - Reactome gene sets
Revisions to C2:CGP collection
Overhaul of C5 collection - gene ontology
Gene sets in this collection are derived from the controlled vocabulary of the Gene Ontology (GO) project: The Gene Ontology Consortium. Gene Ontology: tool for the unification of biology (). The gene sets are named by GO term and contain genes annotated by that term. We have replaced the entire collection with new gene sets using recent GO term annotations.
This collection is divided into three subcollections:
- CC: GO Cellular component (+421 gene sets). Gene sets derived from the Cellular Component Ontology.
- MF: GO Molecular function (+744 gene sets). Gene sets derived from the Molecular Function Ontology.
- BP: GO Biological process (+2914 gene sets). Gene sets derived from the Biological Process Ontology.
Outline of the procedure:
All sets are based on associations of GO terms to human genes. Genes annotated with the same GO term make the corresponding GO term gene set.
The input files are:
- gene2go (downloaded on February 21, 2019)
- go-basic.obo(downloaded on February 21, 2019)
This file reports GO terms that have been associated with genes in NCBI Entrez Gene. It is generated by processing the gene_association file on the GO FTP site and comparing the DB_Object_ID to annotation in NCBI Entrez Gene, as also reported in gene_info.gz. The file is available . It is a tab delimited plain text file with one tax_id / gene_id / evidence_code per line.
This file contains the entire GO ontology in
First, for each GO term we got the corresponding human genes from the gene2go file. Next, we have applied the path rule. Gene products are associated with the most specific GO terms possible. All parent terms up to the root automatically apply to the gene product. Thus, the parent GO term gene sets should include all genes associated with the children GO terms. Then we removed sets with fewer than 10 or more than 2,000 Entrez Gene IDs. Finally, we resolved redundancies as follows. We computed Jaccard's coefficients for each pair of sets, and marked a pair as highly similar if its Jaccard's coefficients was greater than 0.85. We then grouped pairs of highly similar sets into "chunks" according to their GO terms and applied two rounds of filtering for every "chunk". The first round was computational: we kept the largest set in the "chunk" and discarded the smaller sets. This left "chunks" of highly similar pairs of sets of identical sizes, which we further pruned manually by preferably keeping the more general set (i.e., the set with the more general GO term in the ontology tree).
A previous version of the C5 collection contained 864 gene sets that were founder sets for one or more gene set in the MSigDB Hallmark collection. These deprecated C5 sets are included in MSigDB 7.0 as an ARCHIVED collection in order to preserve links to their pages from the hallmark gene set pages.