Zobrazeno 1 - 10
of 15
pro vyhledávání: '"Zhencheng Fang"'
Autor:
Qian Guo, Mo Li, Chunhui Wang, Jinyuan Guo, Xiaoqing Jiang, Jie Tan, Shufang Wu, Peihong Wang, Tingting Xiao, Man Zhou, Zhencheng Fang, Yonghong Xiao, Huaiqiu Zhu
Publikováno v:
Scientific Reports, Vol 11, Iss 1, Pp 1-13 (2021)
Abstract The SARS-CoV-2 pandemic has raised concerns in the identification of the hosts of the virus since the early stages of the outbreak. To address this problem, we proposed a deep learning method, DeepHoF, based on extracting viral genomic featu
Externí odkaz:
https://doaj.org/article/f0f9e0c0db64499c92721fc4f375dd3b
Autor:
Mo Li, Chunhui Wang, Qian Guo, Congmin Xu, Zhongjie Xie, Jie Tan, Shufang Wu, Peihong Wang, Jinyuan Guo, Zhencheng Fang, Shiwei Zhu, Liping Duan, Xiaoqing Jiang, Huaiqiu Zhu
Publikováno v:
Frontiers in Cellular and Infection Microbiology, Vol 12 (2022)
Viruses are increasingly viewed as vital components of the human gut microbiota, while their roles in health and diseases remain incompletely understood. Here, we first sequenced and analyzed the 37 metagenomic and 18 host metabolomic samples related
Externí odkaz:
https://doaj.org/article/ada82a3c1fdd4e888a505baf4618d68d
Autor:
Zhencheng Fang, Hongwei Zhou
Publikováno v:
Frontiers in Microbiology, Vol 12 (2022)
Externí odkaz:
https://doaj.org/article/2139d8c01cc34f7ba6638545330f51ee
Autor:
Zhencheng Fang, Hongwei Zhou
Publikováno v:
Frontiers in Microbiology, Vol 12 (2021)
Viruses are some of the most abundant biological entities on Earth, and prokaryote virus are the dominant members of the viral community. Because of the diversity of prokaryote virus, functional annotation cannot be performed on a large number of gen
Externí odkaz:
https://doaj.org/article/e8944cf1f9cb4c9694530e04c3849b6c
Publikováno v:
Bioinformatics
Summary We present HoPhage (Host of Phage) to identify the host of a given phage fragment from metavirome data at the genus level. HoPhage integrates two modules using a deep learning algorithm and a Markov chain model, respectively. HoPhage achieves
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1fa5b8a36dde3d623583e89775011d14
https://doi.org/10.1093/bioinformatics/btab585
https://doi.org/10.1093/bioinformatics/btab585
Publikováno v:
GigaScience. 11
Background Many biological properties of phages are determined by phage virion proteins (PVPs), and the poor annotation of PVPs is a bottleneck for many areas of viral research, such as viral phylogenetic analysis, viral host identification, and anti
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::15760bf04d73b4603f288e422d6a3898
https://doi.org/10.1093/gigascience/giac076
https://doi.org/10.1093/gigascience/giac076
Autor:
Zhencheng Fang, Hongwei Zhou
Publikováno v:
Journal of Visualized Experiments.
A variety of biological sequence classification tasks, such as species classification, gene function classification and viral host classification, are expected processes in many metagenomic data analyses. Since metagenomic data contain a large number
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2ca37a91bd220bc2eb9b41c631340e01
https://doi.org/10.3791/62250
https://doi.org/10.3791/62250
Autor:
Mo Li, Congmin Xu, Shufang Wu, Chunhui Wang, Huaiqiu Zhu, Jie Tan, Qian Guo, Zhencheng Fang, Xiaoqing Jiang
Publikováno v:
GigaScience
Background Prokaryotic viruses referred to as phages can be divided into virulent and temperate phages. Distinguishing virulent and temperate phage–derived sequences in metavirome data is important for elucidating their different roles in interacti
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b4fc9386fadd32b1124dde94cfdf31d5
https://doi.org/10.1093/gigascience/giab056
https://doi.org/10.1093/gigascience/giab056
Autor:
Jie Tan, Qian Guo, Zhencheng Fang, Tingting Xiao, Xiaoqing Jiang, Yonghong Xiao, Man Zhou, Jinyuan Guo, Huaiqiu Zhu, Peihong Wang, Mo Li, Chunhui Wang, Shufang Wu
Publikováno v:
Scientific Reports
Scientific Reports, Vol 11, Iss 1, Pp 1-13 (2021)
Scientific Reports, Vol 11, Iss 1, Pp 1-13 (2021)
The SARS-CoV-2 pandemic has raised concerns in the identification of the hosts of the virus since the early stages of the outbreak. To address this problem, we proposed a deep learning method, DeepHoF, based on extracting viral genomic features autom
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::47ced0b4eba8489202fe2ee613c2f33a
https://doi.org/10.1038/s41598-021-96903-6
https://doi.org/10.1038/s41598-021-96903-6
Autor:
Huaiqiu Zhu, Qian Guo, Peihong Wang, Shufang Wu, Zhencheng Fang, Yonghong Xiao, Xiaoqing Jiang, Jinyuan Guo, Tingting Xiao, Jie Tan, Chunhui Wang, Man Zhou, Mo Li
The SARS-CoV-2 pandemic has raised the concern for identifying hosts of the virus since the early-stage outbreak. To address this problem, we proposed a deep learning method, DeepHoF, based on extracting the viral genomic features automatically, to p
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::30d3f57fe2a314e6e10761f443c3b806
https://doi.org/10.21203/rs.3.rs-404213/v1
https://doi.org/10.21203/rs.3.rs-404213/v1
