Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Lianjiang Chi"'
Publikováno v:
Genome Biology, Vol 24, Iss 1, Pp 1-27 (2023)
Abstract We developed maximum likelihood method for detecting positive selection or balancing selection using multilocus or genomic polymorphism and divergence data from two species. The method is especially useful for investigating natural selection
Externí odkaz:
https://doaj.org/article/3e1549e5cb5a4ad3aa6de4b9000916d2
Autor:
Hongling Jia, Tong Sha, Shilei Zhao, Wenzhe Su, Peiwen Liu, Ruonan Zhen, Peihan Li, Lijuan Zhou, Yang Xu, Yunjing Wen, Lianjiang Chi, Biao Di, Peng Li, Hua Chen, Pengzhe Qin
Publikováno v:
Emerging Microbes and Infections, Vol 12, Iss 2 (2023)
From June 7th to 11th, 2023, eight cases of Mpox were identified in Guangzhou, China. This is the first report of multiple local sporadic cases after the imported case in Chongqing, China. Epidemiological investigation revealed that these cases had n
Externí odkaz:
https://doaj.org/article/71e24017eb824c5d9e472da394fdba5e
Autor:
Xu Chen, Yanling Sun, Jingfa Xiao, Caixia Yu, Tingting Chen, Li Lan, Lili Dong, Yubin Sun, Lianjiang Chi, Anke Wang, Yanqing Wang, Yiming Bao, Bixia Tang, Junwei Zhu, Sisi Zhang, Zhewen Zhang, Xin Zhang, Wenming Zhao, Zhang Zhang, Shuang Zhai, Huanxin Chen
The Genome Sequence Archive (GSA) is a data repository for archiving raw sequence data, which provides data storing and sharing services for worldwide scientific communities. Considering explosive data growth with diverse data types, here we present
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::af2b866de9377f7ee4bb1dd89a908186
https://doi.org/10.1101/2021.06.29.449849
https://doi.org/10.1101/2021.06.29.449849
Autor:
Liang Ma, Hua Chen, Cheng-Min Shi, Yongming Liu, Shilei Zhao, Qi Liu, Fuquan Wu, Lianjiang Chi
Publikováno v:
Forensic Science International: Genetics. 38:245-253
Inferring an individual's ancestry or group membership using a small set of highly informative genetic markers is very useful in forensic and medical genetics. However, given the huge amount of SNP data available from a diverse of populations, it is
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b81940631e463b5982c240ebdd0d6b32
https://doi.org/10.1016/j.fsigen.2018.10.015
https://doi.org/10.1016/j.fsigen.2018.10.015
Autor:
Liang Ma, Cheng-Min Shi, Qi Liu, Yongming Liu, Hua Chen, Shilei Zhao, Lianjiang Chi, Fuquan Wu
Inferring an individual’s ancestry or group membership using a small set of highly informative genetic markers is very useful in forensic and medical genetics. However, given the huge amount of SNP data available from a diverse of populations, it i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ffe132a67fc3b0d556ebf65a3575d93b