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seGMM: A New Tool for Gender Determination From Massively Parallel Sequencing Data

In clinical genetic testing, checking the concordance between self-reported gender and genotype-inferred gender from genomic data is a significant quality control measure because mismatched gender due to sex chromosomal abnormalities or misregistration of clinical information can significantly affec...

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Detalles Bibliográficos
Autores principales: Liu, Sihan, Zeng, Yuanyuan, Wang, Chao, Zhang, Qian, Chen, Meilin, Wang, Xiaolu, Wang, Lanchen, Lu, Yu, Guo, Hui, Bu, Fengxiao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8930203/
https://www.ncbi.nlm.nih.gov/pubmed/35309142
http://dx.doi.org/10.3389/fgene.2022.850804