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NIPT-PG: empowering non-invasive prenatal testing to learn from population genomics through an incremental pan-genomic approach.
Xue, Zhengfa; Zhou, Aifen; Zhu, Xiaoyan; Li, Linxuan; Zhu, Huanhuan; Jin, Xin; Wang, Jiayin.
Afiliación
  • Xue Z; School of Computer Science and Technology, Xi'an Jiaotong University, Xi'an 710049, China.
  • Zhou A; Shaanxi Engineering Research Center of Medical and Health Big Data, Xi'an Jiaotong University, Xi'an 710049, China.
  • Zhu X; Institute of Maternal and Child Health, Wuhan Children's Hospital (Wuhan Maternal and Child Health care Hospital), Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430015, China.
  • Li L; Department of Obstetrics, Wuhan Children's Hospital (Wuhan Maternal and Child Health care Hospital), Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430015, China.
  • Zhu H; School of Computer Science and Technology, Xi'an Jiaotong University, Xi'an 710049, China.
  • Jin X; Shaanxi Engineering Research Center of Medical and Health Big Data, Xi'an Jiaotong University, Xi'an 710049, China.
  • Wang J; BGI Research, Shenzhen 518083, China.
Brief Bioinform ; 25(4)2024 May 23.
Article en En | MEDLINE | ID: mdl-38836702
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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Pruebas Prenatales no Invasivas / Aneuploidia Límite: Female / Humans / Pregnancy Idioma: En Revista: Brief Bioinform Asunto de la revista: BIOLOGIA / INFORMATICA MEDICA Año: 2024 Tipo del documento: Article País de afiliación: China
Texto completo
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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Pruebas Prenatales no Invasivas / Aneuploidia Límite: Female / Humans / Pregnancy Idioma: En Revista: Brief Bioinform Asunto de la revista: BIOLOGIA / INFORMATICA MEDICA Año: 2024 Tipo del documento: Article País de afiliación: China