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. 2021 Jun 25;52(3):3002–3017. doi: 10.1007/s10489-021-02572-3

Table 6.

Top-1 motifs with the highest activation value from each filter extracted from 19 metagenomic experiments, which act as features to predict viral genomes

Filter Id Viral pattern Mean activation Activation value Filter Id Viral pattern Mean activation Activation value
11 ACGACCG 0.789984 1.5799685 9 GCTGTGA 0.596094 1.1921874
16 ACGCAGT 0.692365 1.3847302 28 GATTTGA 0.587959 1.1759177
24 GGGATCG 0.678848 1.3576957 3 GCGAGGT 0.580528 1.1610559
21 TACGGGT 0.673739 1.3474776 7 TCAGGTC 0.572008 1.1440151
4 AGGCGGG 0.652724 1.3054485 19 AAAGTCT 0.559704 1.1194072
10 AAAAATT 0.650489 1.3009783 23 GTCCTGA 0.553407 1.1068132
18 AGTACGA 0.649529 1.2990574 31 CCGTTAT 0.549539 1.0990782
1 CTTTTTT 0.644374 1.2887475 14 ATGGAGT 0.548696 1.0973923
20 GTCACTC 0.634448 1.2688965 22 GAGAAAA 0.543563 1.0871266
2 ACCTCTG 0.632819 1.2656392 8 ATATGTG 0.541229 1.0824597
26 CACAGTG 0.630168 1.2603375 17 TTGAAAT 0.527961 1.0559222
5 TGAGCTC 0.624382 1.2487631 29 CGTGCCC 0.525018 1.0500368
32 CTAGGCT 0.608599 1.2171972 27 TAACGTC 0.518185 1.0363696
30 TGGGCCG 0.603729 1.2074571 13 GATCCTA 0.485952 0.9719047
6 TCACATC 0.603138 1.2062765 25 ATGAGAG 0.465123 0.9302594
12 TCACAGC 0.597369 1.2062765