SigMod

SigMod is an exact and efficient method for identifying a strongly interconnected gene module enriched in high-association signals that integrates GWAS results and gene networks. This method is formulated as a binary quadratic optimization problem and is robust against noise from the GWAS results or the network resource.

Topic

GWAS study;Molecular interactions, pathways and networks;Pathology

Detail

  • Operation: Sequence feature detection

  • Software interface: Library

  • Language: R

  • License: The MIT License

  • Cost: Free

  • Version name: -

  • Credit: The Marie Curie Initial Training Network, the French National Agency for Research.

  • Input: -

  • Output: -

  • Contact: Yuanlong Liu yuanlong.liu@inserm.fr, yliueagle@googlemail.com

  • Collection: -

  • Maturity: -

Publications

  • SigMod: an exact and efficient method to identify a strongly interconnected disease-associated module in a gene network
  • Liu Y, Brossard M, Roqueiro D, Margaritte-Jeannin P, Sarnowski C, Bouzigon E, Demenais F. SigMod: an exact and efficient method to identify a strongly interconnected disease-associated module in a gene network. Bioinformatics. 2017 May 15;33(10):1536-1544. doi: 10.1093/bioinformatics/btx004. PMID: 28069594.
  • https://doi.org/10.1093/bioinformatics/btx004
  • PMID: 28069594
  • PMC: -

Download and documentation

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