BioinformaticsbioRxivPreprint
seGMM: a new tool to infer sex from massively parallel sequencing data
Sihan Liu, Yuanyuan Zeng, Meilin Chen…·Fengxiao Bu
seGMM infers sex from sequencing data with >99% accuracy, outperforming existing tools by incorporating Y chromosome features.
DOI 10.1101/2021.12.16.472877