RepeatExplorer is a computational pipeline designed to identify and characterize repetitive DNA elements in next-generation sequencing data from plant and animal genomes. It employs graph-based clustering of sequence reads to identify repetitive elements and several additional programs that aid in their annotation and quantification.


A consensus classifier that combines six of the top performing tools for the prediction of the effects of mutation on protein function. The obtained results are provided together with annotations extracted from the Protein Mutant Database and the UniProt database.