MAGI-S

MAGI-S is a computational tool to identify modules or groups of highly connected genes that potentially share similar biological functions. It integrates protein-protein interaction and co-expression networks to construct these modules, each centered around a single "seed" gene. The resulting modules consist of highly co-expressed genes with the seed gene.

The tool aims to differentiate the genetic causes of specific clinical symptoms, such as epilepsy, from a more general neurodevelopmental disorder (NDD) phenotype. By providing MAGI-S with high-confidence NDD seed genes with varying degrees of association with epilepsy, the tool can assess the enrichment of de novo mutations, NDD-associated genes, and relevant biological functions within the constructed modules.

Topic

Genotype and phenotype;Molecular interactions, pathways and networks;Genetic variation;Neurology;Functional, regulatory and non-coding RNA

Detail

  • Operation: Pathway or network prediction;Enrichment analysis;Genotyping

  • Software interface: Command-line interface

  • Language: C++,C

  • License: Not stated

  • Cost: Free of charge

  • Version name: -

  • Credit: Sloan Research Fellowship, UC-Davis, NIH, SFARI, and Huck Institutes of the Life Sciences.

  • Input: -

  • Output: -

  • Contact: Fereydoun Hormozdiari fhormozd@ucdavis.edu

  • Collection: -

  • Maturity: -

Publications

  • Dissecting the genetic basis of comorbid epilepsy phenotypes in neurodevelopmental disorders.
  • Chow J, et al. Dissecting the genetic basis of comorbid epilepsy phenotypes in neurodevelopmental disorders. Dissecting the genetic basis of comorbid epilepsy phenotypes in neurodevelopmental disorders. 2019; 11:65. doi: 10.1186/s13073-019-0678-y
  • https://doi.org/10.1186/S13073-019-0678-Y
  • PMID: 31653223
  • PMC: PMC6815046

Download and documentation

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