GeNOSA

GeNOSA is a framework for establishing quantitative gene regulatory networks (qGRNs) using a global optimization algorithm called OptNCA. It outperforms existing NCA-derived algorithms in terms of utilizing connectivity information and reconstruction accuracy of inferred GRNs using synthetic and real datasets. GeNOSA is demonstrated in several applications including deducing condition-dependent regulations and discovering novel regulations.

Topic

Systems biology;Gene regulation;Microarray experiment;Sequence analysis;Molecular interactions, pathways and networks

Detail

  • Operation: Pathway or network prediction

  • Software interface: Command-line user interface

  • Language: -

  • License: -

  • Cost: Free

  • Version name: -

  • Credit: National Science Council of Taiwan, ‘Center for Bioinformatics Research of Aiming for the Top University Program’ of the National Chiao Tung University and Ministry of Education, Taiwan, ROC, the UST-UCSD International Center of Excellence in Advanced Bioengineering sponsored by the Taiwan National Science Council.

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  • Output: -

  • Contact: -

  • Collection: -

  • Maturity: -

Publications

  • GeNOSA: inferring and experimentally supporting quantitative gene regulatory networks in prokaryotes.
  • Chen YH, et al. GeNOSA: inferring and experimentally supporting quantitative gene regulatory networks in prokaryotes. GeNOSA: inferring and experimentally supporting quantitative gene regulatory networks in prokaryotes. 2015; 31:2151-8. doi: 10.1093/bioinformatics/btv075
  • https://doi.org/10.1093/bioinformatics/btv075
  • PMID: 25717191
  • PMC: -

Download and documentation

    Currently not available or not maintained.

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