Skip to main content
. 2019 Jul 26;15(7):e1008302. doi: 10.1371/journal.pgen.1008302

Table 1. Information on the published medium to high coverage palaeogenomic and archaeogenomic data used in this study.

Sample ID (Partial) UDG treatment$ SNP capture Average sequencing depth± SE Number of SNPs depth ≥ 10x Reference
Stuttgart X 16.0 ± 7.0 916,374 [23]
Loschbour X 18.2 ± 7.6 950,730 [23]
Ust’-Ishim X 31.8 ± 8.0 1,016,515 [24]
sf12 X 66.3 ± 19.5 1,018,604 [25]
baa001 X 13.7 ± 7.0 807,484 [26]
Kotias 13.3 ± 7.7 732,775 [27]
Bichon 15.4 ± 10.2 731,151 [27]
ne1 19.5 ± 7.5 971,184 [28]
br2 19.3 ± 6.1 993,160 [28]
atp016 14.6 ± 6.4 888,522 [29]
Rathlin1 11.2 ± 6.1 655,195 [30]
Ballynahatty 11.2 ± 6.1 655,947 [30]
I0054 X X 2.9 ± 8.1 73,901 [31]
I0103 X X 2.8 ± 7.2 79,825 [31]
I0118 X X 2.0 ± 4.8 70,872 [31]
I0172 X X 4.0 ± 9.4 94,558 [31]
I0408 X X 2.0 ± 6.6 58,358 [31]
I0412 X X 2.2 ± 6.1 64,057 [31]
I0585 X X 2.9 ± 8.3 63,176 [31]
TAF011 X X 1.1 ± 3.4 37,737 [32]
TAF013 X X 0.9 ± 3.0 30,390 [32]
TAF014 X X 0.8 ± 2.4 22,648 [32]
AltaiNeandertal X 47.7 ± 12.3 1,019,927 [33]
VindijaNeandertal X 28.1 ± 9.8 1,009,725 [34]
Denisovan X 28.5 ± 8.1 1,013,485 [35]

Samples for which unmapped reads were obtained

$ Enzymatic repair of deamination damages

at 1,022,984 analyzed SGDP SNPs, using a minimum mapping quality of 30