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.

Additional Metadata
Keywords human Y-chromosome, haplogroups, phylogeny, next-generation sequencing, NRY
Persistent URL dx.doi.org/10.1093/molbev/msy032, hdl.handle.net/1765/111988
Journal Molecular Biology and Evolution
Citation
Ralf, A.F., Montiel Gonzalez, D.F., Zhong, KY, & Kayser, M.H. (2018). Yleaf: Software for Human Y-Chromosomal Haplogroup Inference from Next-Generation Sequencing Data. Molecular Biology and Evolution, 35(5), 1291–1294. doi:10.1093/molbev/msy032