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Comparative Genomic and Transcriptomic Analyses Reveal the Impacts of Genetic Admixture in Kazaks, Uyghurs, and Huis.
Pan, Yuwen; Wen, Jia; Ning, Zhilin; Yuan, Yuan; Liu, Xubing; Yang, Yajun; Guan, Yaqun; Lu, Yan; Mamatyusupu, Dolikun; Xu, Shuhua.
Afiliación
  • Pan Y; Key Laboratory of Computational Biology, Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai, China.
  • Wen J; State Key Laboratory of Genetic Engineering, Center for Evolutionary Biology, Collaborative Innovation Center for Genetics and Development, School of Life Sciences, Fudan University, Shanghai, China.
  • Ning Z; Human Phenome Institute, Zhangjiang Fudan International Innovation Center, and Ministry of Education Key Laboratory of Contemporary Anthropology, Fudan University, Shanghai, China.
  • Yuan Y; Key Laboratory of Computational Biology, Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai, China.
  • Liu X; Key Laboratory of Computational Biology, Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai, China.
  • Yang Y; Key Laboratory of Computational Biology, Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai, China.
  • Guan Y; State Key Laboratory of Genetic Engineering, Center for Evolutionary Biology, Collaborative Innovation Center for Genetics and Development, School of Life Sciences, Fudan University, Shanghai, China.
  • Lu Y; Department of Biochemistry and Molecular Biology, Preclinical Medicine College, Xinjiang Medical University, Urumqi, China.
  • Mamatyusupu D; State Key Laboratory of Genetic Engineering, Center for Evolutionary Biology, Collaborative Innovation Center for Genetics and Development, School of Life Sciences, Fudan University, Shanghai, China.
  • Xu S; College of the Life Sciences and Technology, Xinjiang University, Urumqi, China.
Mol Biol Evol ; 40(3)2023 03 04.
Article en En | MEDLINE | ID: mdl-36869755
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Transcriptoma / Genética de Población Tipo de estudio: Prognostic_studies Límite: Humans Idioma: En Revista: Mol Biol Evol Asunto de la revista: BIOLOGIA MOLECULAR Año: 2023 Tipo del documento: Article País de afiliación: China Pais de publicación: Estados Unidos
Texto completo
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Transcriptoma / Genética de Población Tipo de estudio: Prognostic_studies Límite: Humans Idioma: En Revista: Mol Biol Evol Asunto de la revista: BIOLOGIA MOLECULAR Año: 2023 Tipo del documento: Article País de afiliación: China Pais de publicación: Estados Unidos