bookmark TEclass Classifies unknown transposable element (TE) consensus sequences into four categories, according to their mechanism of transposition: DNA transposons, Long Terminal Repeats (LTRs), Long Interspersed Nuclear Elements (LINEs), Short Interspersed Nuclear Elements (SINEs). TEclass uses support vector machines, random forests, learning vector quantisation, and also predicts Open Reading Frames (ORFs). TEclass is not a tool to annotate whole-genome data, thus it is not a replacement for RepeatMasker or Censor. Its primary purpose is to classify the repeat libraries which can subsequently be used by these two tools. Thus, the input should not contain more than a few thousand sequences.