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AmiR-P3: An AI-based microRNA prediction pipeline in plants.

Sobhan AtaeiJafar AhmadiSayed-Amir MarashiIlia Abolhasani
Published in: PloS one (2024)
AmiR-P3 does not (necessarily) require sequencing reads and/or assembled reference genomes, enabling it to identify conserved and novel putative miRNAs from any genomic or transcriptomic sequence. Therefore, AmiR-P3 is suitable for miRNA prediction even in less-studied plants, as it does not require any prior knowledge of the miRNA repertoire of the organism. AmiR-P3 is provided as a docker container, which is a portable and self-contained software package that can be readily installed and run on any platform and is freely available for non-commercial use from: https://hub.docker.com/r/micrornaproject/amir-p3.
Keyphrases
  • single cell
  • healthcare
  • transcription factor
  • rna seq
  • copy number
  • dna methylation
  • machine learning
  • deep learning
  • low cost
  • genome wide