miRCat2

miRCat2 is an algorithm for accurately predicting microRNAs (miRNAs) from next-generation sequencing datasets. It incorporates an entropy-based approach to detect miRNA loci, designed to cope with high sequencing depth.

Topic

NGS;Zoology;Plant biology;Functional, regulatory and non-coding RNA

Detail

  • Operation: microRNA detection

  • Software interface: Web user interface

  • Language: Java, R

  • License: -

  • Cost: Free

  • Version name: -

  • Credit: Biotechnology and Biological Sciences Research Council (BBSRC).

  • Input: -

  • Output: -

  • Contact: Vincent Moulton v.moulton@uea.ac.uk, Simon Moxon s.moxon@uea.ac.uk

  • Collection: -

  • Maturity: -

Publications

  • miRCat2: accurate prediction of plant and animal microRNAs from next-generation sequencing datasets.
  • Paicu C, et al. miRCat2: accurate prediction of plant and animal microRNAs from next-generation sequencing datasets. miRCat2: accurate prediction of plant and animal microRNAs from next-generation sequencing datasets. 2017; 33:2446-2454. doi: 10.1093/bioinformatics/btx210
  • https://doi.org/10.1093/bioinformatics/btx210
  • PMID: 28407097
  • PMC: PMC5870699

Download and documentation

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