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MAGI


Target Prediction Novel miRNA/Precursor Prediction Sequencing Analysis Target Functional Analysis Differential Expression Analysis Known miRNA Identification


MAGI is a web service for fast MicroRNA-Seq data analysis in a graphics processing unit (GPU) infrastructure. Using just a browser, users have access to results as web reports in just a few hours—>600% end-to-end performance improvement over state of the art.

Homepage: Link Offline

Last Software Update: June 6, 2014
Publication Date: June 6, 2014
Reference: [Journal] [Pubmed] [CrossRef]
Citations: 10 [via Pubmed]

Organism Specific:
  • human

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

    • Target Prediction
    Algorithm Features:
  • seed match
  • conservation
  • free energy
  • G:U pairs allowed in the seed

    • Target Region: 3'UTR, CDS
    Target Annotation:
    Algorithm: miRanda
    NGS Data Needed:
    Metaserver:
    Sequencing Analysis
    Algorithm Features:
  • novel miRNA Identification
  • known miRNA identification
  • differential expression
  • target prediction
  • target annotation
  • precursor prediction
  • other ncRNA identification

    • Sequencing Platform Specific: Illumina, SOLiD
    PARE/CLIP-Seq: /
    Novel miRNA/Precursor Prediction
    Prediction Features:
  • sequence
  • structure
  • conservation

    • Algorithm: miRDeep2, Random-Forest Classifier
    Novel miRNA / Precursor Analysis: Classification & Prediction
    NGS Data Needed:
    Differential Expression Analysis
    Algorithm: DESeq
    miRNA differential expression:
    mRNA differential expression:
    NGS Data Needed:
    Target Functional Analysis
    Algorithm: Fisher's Exact Test
    Analysis Features:
  • KEGG Pathways
    • NGS Data Needed:
    Target Prediction Data Needed:
    Known miRNA Identification
    NGS Data Needed:





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