HaploSight: An alternative approach for Y chromosomal haplogroup identification

Abstract

AbstractIdentification of Y chromosomal haplogroups holds significance in the study of human evolution. In this context, an alternative approach named HaploSight was introduced for identifying Y chromosomal haplogroups. This approach relied on the algorithm of matched and unmatched informative SNPs extracted from the reference phylogenetic tree, implemented in Python. HaploSight demonstrated high accuracy in identifying haplogroups and offered adequate depth in haplogroup analysis. Furthermore, it was compatible with various genotyping arrays, enabling users to work with both sequencing and SNPs dataset.