Extended Data Table 4 Consensus sequence identity

From: Ancient hepatitis B viruses from the Bronze Age to the Medieval period

  1. a, Best consensus sequence identity with 14 groups of HBV full genomes. The Needleman–Wunsch algorithm (as implemented in EMBOSS50) was used to globally align each sample consensus sequence against each of the 3,384 full HBV genomes of dataset 4 (see Methods). The table shows the best nucleotide similarity percentage for each sample consensus against 14 genome groups from the full set of HBV genomes. In cases in which the consensus length is less than the genome length, the given figure is the percentage of identical nucleotides in the matching region, not counting any alignment gaps or ambiguous consensus nucleotides. For each sample, the genome group with the highest identity is highlighted in bold. b, Inter-consensus sequence identity. The Needleman–Wunsch algorithm was used to globally align all ancient sample consensus sequences against one another. The table shows the nucleotide identity percentage for each alignment. In cases in which the consensus lengths were unequal, the given figure is the percentage of identical nucleotides in the matching region, not counting any alignment gaps or ambiguous consensus nucleotides.