Used databases

RNAmining was validated by a series of tests. all the FASTA sequences used in the creation process of this tool can be downloaded here.

Standalone Version

RNAmining was also developed in a standalone software. A complete tutorial of how to install and use it to perform coding potential prediction is described below.


  • Python Version >= 3.8
  • Pandas Version >= 0.23.3
  • Scikit-learn Version >= 0.21.3
  • XGBoost Version >= 1.2.0
  • Biopython Version >= 1.78

How to run?

RNAmining is supported in Docker version and the user also can download the RNAmining stand-alone version through Gitlab. All the installation and run commands are explained in:

Docker and stand-alone versions with all commands:

Docker Version          Stand-alone Version

Release history

  • RNAmining v1.0.4 (Jun 01, 2021)
  • Inclusion of classification probabilities in the output file

  • RNAmining v1.0.3 (Dec 17, 2020)
  • Fix inconsistency in sequence's read.

  • RNAmining v1.0.2 (Nov 13, 2020)
  • New version using XGBoost models.