“…A third interesting tool is RetroTector, a software developed for the automated recognition of the best-preserved proviral sequences in the genome of vertebrates [ 45 , 46 ]. The HERV recognition process through RetroTector led to a related study that analyzed the human genome assembly GRCh 37/hg19, identifying, characterizing and classifying a total of 3173 HERV sequences [ 3 ]. The classification work, based on a multiple approach, split the HERV proviruses into 39 well-supported phylogenetic groups, belonging to the retroviral classes I (Gamma- and Epsilon-like), II (Beta-like), and III (Spuma-like) [ 3 ].…”