A tool for ranking novel miRNAs that have been predicted from next-generation sequencing (NGS) data. Since in later miRBase versions the increase of miRNAs derived from NGS data and prediction tools is noticeable, we provide with our tool a way to compare user-defined novel miRNAs to e.g. early miRBase versions and rank the user input miRNAs according to their distance from the distribution of the selected reference miRBase versions.
Assists users in determining the relevance of a miRNA in terms of separability between normal and cancer classes. FREM can rank the miRNAs and thereby identifying the relevant ones. It can also be used to determine the relevance of a miRNA in terms of separability between normal and cancer classes. This method is also used to determine the redundancy between two miRNAs and the redundant ones are removed from the selected set if necessary.
Offers a platform for forecasting miRNA essentiality. miES provides an algorithm, usable through both a desktop program or as a web-hosted application, assisting users in selecting miRNAs for further experiments. This software consists of two main panels allowing the prediction as well as the querying of miRNAs of interest from the miRbase or the miRCarta repositories.