Table 1.
GRCh37 | GRCh38 | |
---|---|---|
1 | aa, aaa, ac, aca, acg | aa, aaa, ac, aca, act |
2 | act, ag, aga, at, ata | ag, aga, at, ata, atc |
3 | atc, atg, att, ca, caa | atg, att, ca, caa, cac |
4 | cac, cag, cat, cc, cca | cag, cat, cc, cca, ccc |
5 | ccc, cg, cgc, ct, cta | cg, cgc, ct, cta, ctc |
6 | ctc, ctg, ga, gac, gag | ctg, ga, gac, gag, gc |
7 | gc, gcg, gg, ggg, gt | gcg, gg, ggg, gt, gta |
8 | gtc, gtg, ta, tac, tag | gtc, gtg, ta, tac, tag |
9 | tat, tc, tca, tct, tg | tat, tc, tca, tct, tg |
10 | tga, tgt, tt, ttg, ttt | tga, tgt, tt, ttg, ttt |
GRCh37 and GRCh38 data sets were analyzed to identify 50 pattern frequencies with the highest PCA loadings. The patterns “acg” and “gta”, in bold, are the only difference. In the additional files, we listed these nucleotide pattern frequencies, ordered by PCA loadings