Then we exploited the class information to select three types of clusters. By applying the rules described in the Methods section, we selected 23 positive clusters, 27 negative clusters and 4 uncertain clusters. An example of positive cluster and an example of negative one are shown in Figure 2 : the figure depicts the multiple alignments of the two clusters and their representation through sequence logos [49] .