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MMIA


Target Prediction Target Functional Analysis Differential Expression Analysis


Analysis Scheme:
MMIA integrates microRNA and mRNA expression data with predicted microRNA target information for analyzing microRNA-associated phenotypes and biological functions by Gene Set Enrichment Analysis. To assign biological relevance to the integrated microRNA/mRNA profiles, MMIA uses exhaustive human genome coverage, including various disease-associated genes as well as conventional canonical pathways and Gene Ontology. This novel web server provides users with miRNA-mRNA expression data combined analysis tools and broad gene sets.

Homepage: Link Offline

Last Software Update: May 6, 2009
Publication Date: May 6, 2009
Reference: [Journal] [Pubmed] [CrossRef]
Citations: 87 [via Pubmed]

Organism Specific:
  • human

    • Reference Genome Needed:
    Online/Local: /
    Installation/User Level: advanced
    User Adjustability:
    User support:
    Precomputed Target Results Available For Download:
    Cross-Refferences:
  • miRBase
  • miR2Disease
  • UCSC
  • NCBI

    • Target Prediction
    Algorithm Features:
  • seed match
  • conservation
  • free energy
  • site accessibility
  • target-site abundance
  • 3' compensatory pairing
  • G:U pairs allowed in the seed
  • local AU content
  • HMM

    • Target Region: 3' UTR, CDS
    Target Annotation:
    NGS Data Needed:
    Metaserver:
    Target Prediction Methods Used For Metaserver:
  • PicTar
  • PITA
  • TargetScan

    • Differential Expression Analysis
    Algorithm: T-test
    miRNA differential expression:
    mRNA differential expression:
    NGS Data Needed:
    Target Functional Analysis
    Analysis Features:
  • GO Terms
  • KEGG Pathways
    • NGS Data Needed:
    Target Prediction Data Needed:





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