Yleaf: Software for Human Y-Chromosomal Haplogroup Inference from Next-Generation Sequencing Data

Arwin Ralf(Erasmus MC), Diego Montiel González(Erasmus MC), Kaiyin Zhong(Erasmus MC), Manfred Kayser(Erasmus MC)
Molecular Biology and Evolution
March 5, 2018
Cited by 188Open Access
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Abstract

Next-generation sequencing (NGS) technologies offer immense possibilities given the large genomic data they simultaneously deliver. The human Y-chromosome serves as good example how NGS benefits various applications in evolution, anthropology, genealogy, and forensics. Prior to NGS, the Y-chromosome phylogenetic tree consisted of a few hundred branches, based on NGS data, it now contains many thousands. The complexity of both, Y tree and NGS data provide challenges for haplogroup assignment. For effective analysis and interpretation of Y-chromosome NGS data, we present Yleaf, a publically available, automated, user-friendly software for high-resolution Y-chromosome haplogroup inference independently of library and sequencing methods.


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