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MAGIA2


Target Prediction Target Functional Analysis


Analysis Scheme:
MAGIA2 refines in silico target prediction through miRNA–target expression association measures. MAGIA2 extends the analysis, supporting multiple organisms (human, mouse, rat and drosophila), and using a greatly expanded list of target predictions algorithms.

Homepage: Link

Last Software Update: May 21, 2012
Publication Date: May 21, 2012
Reference: [Journal] [Pubmed] [CrossRef]
Citations: 63 [via Pubmed]

Organism Specific:
  • human
  • mouse
  • rat
  • fly

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

    • Target Prediction
    Algorithm Features:
  • seed match
  • conservation
  • free energy
  • site accessibility
  • target-site abundance
  • machine learning
  • 3' compensatory pairing
  • G:U pairs allowed in the seed
  • local AU content
  • miRNA and gene expression data integration

    • Target Region: any
    Target Annotation:
    NGS Data Needed:
    Metaserver:
    Target Prediction Methods Used For Metaserver:
  • PITA
  • MicroT
  • mirSVR
  • MicroCosm
  • microDB
  • RNA22
  • PicTar
  • TargetScan

    • Target Functional Analysis
    Algorithm: Spearman correlation, Pearson correlation
    Analysis Features:
  • GO Terms
  • KEGG Pathways
  • miRNA/mRNA Correlation
  • Protein-Protein Interaction
    • NGS Data Needed:
    Target Prediction Data Needed:





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