All the tools you need to analyse your miRNAs


Novel miRNA/Precursor Prediction

miRe2e is the first full end-to-end deep learning model for pre-miRNA prediction. This model is based on Transformers, a neural architecture that uses attention mechanisms to infer global dependencies between inputs and outputs. It is capable of receiving the raw genome-wide data as input, without any pre-processing nor feature engineering. After a training stage with known pre-miRNAs, hairpin and non-harpin sequences, it can identify all the pre-miRNA sequences within a genome. The model has been validated through several experimental setups using the human genome, and it was compared with state-of-the-art algorithms obtaining 10 times better performance.

Homepage: Link

Publication Date: Dec. 7, 2021
Reference: [Journal] [CrossRef]

Organism Specific:
  • any

  • Reference Genome Needed:
    Online/Local: /
    Installation/User Level: easy
    User Adjustability:
    User support:
    Precomputed Target Results Available For Download:
    Input Data Required:
  • fasta file with any length RNA sequence

  • Novel miRNA/Precursor Prediction
    Prediction Features:
  • sequence
  • end-to-end (only need the RNA sequence as input)

  • Novel miRNA / Precursor Analysis: Classification & Prediction
    NGS Data Needed:

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