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moGSA | Integrative single sample gene-set analysis of multiple omics data


Generates an integrated enrichment score based on the information in multiple ‘omics datasets. moGSA recognizes gene-sets with high sensitivity and specificity compared to single dataset gene-set analysis (GSA). It was used to investigate a dataset consisting of mRNA, protein and phospho-protein profiling of four cell lines. This tool can return biological pathways with correlated profiles across multiple complex datasets.

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moGSA classification

moGSA specifications

Unique identifier:
Software type:
Restrictions to use:
Output data:
A gene-set score (GSS) matrix.
Programming languages:
Computer skills:
multiple omics Gene-Set Analysis
Command line interface
Input data:
A list of genes.
Operating system:
Unix/Linux, Mac OS, Windows
GNU General Public License version 2.0

moGSA distribution


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moGSA support



  • Amin Moghaddas <>
  • Aedin Culhane <>
  • Chen Meng <>


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Chair of Proteomics and Bioanalytics, Technische Universität München, Freising, Germany; Center for Integrated Protein Science Munich, Freising, Germany; La Jolla Institute for Allergy and Immunology, La Jolla, CA, USA; Department of Biostatistics and Computational Biology, Dana-Farber Cancer Institute, Boston, MA, USA; Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, USA

Funding source(s)

Supported by DFCI BCB Research Scientist Developmental Funds, National Cancer Institute at the National Institutes of Health [grant numbers 2P50 CA101942-11, 1U19 AI111224-01, 1U19 AI109755-01] and Department of Defense BCRP [award number W81XWH-15-1-0013].

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