Source: Nature genetics. Unidade: FM
Subjects: COLESTEROL, PREDISPOSIÇÃO GENÉTICA PARA DOENÇA, VARIAÇÃO GENÉTICA, GENOMAS, FENÓTIPOS
ABNT
LI, Xihao et al. Dynamic incorporation of multiple in silico functional annotations empowers rare variant association analysis of large whole-genome sequencing studies at scale. Nature genetics, v. 52, n. 9, p. 969-+, 2020Tradução . . Disponível em: https://doi.org/10.1038/s41588-020-0676-4. Acesso em: 24 maio 2024.APA
Li, X., Li, Z., Zhou, H., Gaynor, S. M., Liu, Y., Chen, H., et al. (2020). Dynamic incorporation of multiple in silico functional annotations empowers rare variant association analysis of large whole-genome sequencing studies at scale. Nature genetics, 52( 9), 969-+. doi:10.1038/s41588-020-0676-4NLM
Li X, Li Z, Zhou H, Gaynor SM, Liu Y, Chen H, Sun R, Dey R, Arnett DK, Sabino EC. Dynamic incorporation of multiple in silico functional annotations empowers rare variant association analysis of large whole-genome sequencing studies at scale [Internet]. Nature genetics. 2020 ; 52( 9): 969-+.[citado 2024 maio 24 ] Available from: https://doi.org/10.1038/s41588-020-0676-4Vancouver
Li X, Li Z, Zhou H, Gaynor SM, Liu Y, Chen H, Sun R, Dey R, Arnett DK, Sabino EC. Dynamic incorporation of multiple in silico functional annotations empowers rare variant association analysis of large whole-genome sequencing studies at scale [Internet]. Nature genetics. 2020 ; 52( 9): 969-+.[citado 2024 maio 24 ] Available from: https://doi.org/10.1038/s41588-020-0676-4