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      The Molecular Signatures Database (MSigDB) hallmark gene set collection

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          Abstract

          The Molecular Signatures Database (MSigDB) is one of the most widely used and comprehensive databases of gene sets for performing gene set enrichment analysis. Since its creation, MSigDB has grown beyond its roots in metabolic disease and cancer to include >10,000 gene sets. These better represent a wider range of biological processes and diseases, but the utility of the database is reduced by increased redundancy across, and heterogeneity within, gene sets. To address this challenge, here we use a combination of automated approaches and expert curation to develop a collection of “hallmark” gene sets as part of MSigDB. Each hallmark in this collection consists of a “refined” gene set, derived from multiple “founder” sets, that conveys a specific biological state or process and displays coherent expression. The hallmarks effectively summarize most of the relevant information of the original founder sets and, by reducing both variation and redundancy, provide more refined and concise inputs for gene set enrichment analysis.

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          Author and article information

          Journal
          101656080
          43733
          Cell Syst
          Cell Syst
          Cell systems
          2405-4712
          2405-4720
          11 December 2015
          23 December 2015
          23 December 2016
          : 1
          : 6
          : 417-425
          Affiliations
          [1 ] Broad Institute of MIT and Harvard, 415 Main St. Cambridge, MA 02142, USA
          [2 ] Department of Medicine, UC San Diego, La Jolla, CA 92093, USA
          [3 ] Moores Cancer Center, UC San Diego, La Jolla, CA 92093, USA
          Author notes
          [*]

          These authors contributed equally.

          Article
          PMC4707969 PMC4707969 4707969 nihpa743907
          10.1016/j.cels.2015.12.004
          4707969
          26771021
          ddcd3a4b-4668-43b4-a31d-26a6f66df98c
          History
          Categories
          Article

          gene sets,gene expression,gene set enrichment analysis

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