Accurate virus identification with interpretable Raman signatures by machine learning.

Autor: Ye J; College of Information Sciences and Technology, The Pennsylvania State University, University Park, PA 16802., Yeh YT; Department of Physics, The Pennsylvania State University, University Park, PA 16802., Xue Y; Department of Electrical and Computer Engineering, Johns Hopkins University, Baltimore, MD 21218., Wang Z; Department of Electrical Engineering, The Pennsylvania State University, University Park, PA 16802., Zhang N; Department of Physics, The Pennsylvania State University, University Park, PA 16802., Liu H; Department of Physics, The Pennsylvania State University, University Park, PA 16802., Zhang K; Department of Electrical Engineering, The Pennsylvania State University, University Park, PA 16802., Ricker R; Department of Biomedical Engineering, George Washington University, Washington, DC 20052.; Systems Genomics Section, Laboratory of Parasitic Diseases, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD 20894., Yu Z; Department of Physics, The Pennsylvania State University, University Park, PA 16802., Roder A; Systems Genomics Section, Laboratory of Parasitic Diseases, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD 20894., Perea Lopez N; Department of Physics, The Pennsylvania State University, University Park, PA 16802., Organtini L; Department of Biochemistry and Molecular Biology, The Pennsylvania State University, University Park, PA 16802., Greene W; Department of Pathology and Laboratory Medicine, Division of Clinical Pathology, The Pennsylvania State University College of Medicine, Hershey, PA 17033., Hafenstein S; Department of Biochemistry and Molecular Biology, The Pennsylvania State University, University Park, PA 16802., Lu H; Department of Veterinary and Biomedical Sciences, The Pennsylvania State University, University Park, PA 16802., Ghedin E; Systems Genomics Section, Laboratory of Parasitic Diseases, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD 20894., Terrones M; Department of Physics, The Pennsylvania State University, University Park, PA 16802., Huang S; Department of Electrical Engineering, The Pennsylvania State University, University Park, PA 16802., Huang SX; College of Information Sciences and Technology, The Pennsylvania State University, University Park, PA 16802.

Publikováno v: Proceedings of the National Academy of Sciences of the United States of America [Proc Natl Acad Sci U S A] 2022 Jun 07; Vol. 119 (23), pp. e2118836119. Date of Electronic Publication: 2022 Jun 02.

Group Selection and Contribution of Minority Variants during Virus Adaptation Determines Virus Fitness and Phenotype.

Autor: Bordería AV; Institut Pasteur, Viral Populations and Pathogenesis Unit, CNRS UMR 3569, Paris, France; Institut Pasteur, International Group for Data Analysis, Paris, France., Isakov O; Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel., Moratorio G; Institut Pasteur, Viral Populations and Pathogenesis Unit, CNRS UMR 3569, Paris, France., Henningsson R; Institut Pasteur, Viral Populations and Pathogenesis Unit, CNRS UMR 3569, Paris, France; Institut Pasteur, International Group for Data Analysis, Paris, France; Centre for Mathematical Sciences, Lund University, Lund, Sweden., Agüera-González S; Institut Pasteur, Lymphocyte Cell Biology Unit, CNRS URA 1960, Paris, France., Organtini L; Division of Infectious Diseases, Pennsylvania State College of Medicine, Hershey, Pennsylvania, United States of America., Gnädig NF; Institut Pasteur, Viral Populations and Pathogenesis Unit, CNRS UMR 3569, Paris, France., Blanc H; Institut Pasteur, Viral Populations and Pathogenesis Unit, CNRS UMR 3569, Paris, France., Alcover A; Institut Pasteur, Lymphocyte Cell Biology Unit, CNRS URA 1960, Paris, France., Hafenstein S; Division of Infectious Diseases, Pennsylvania State College of Medicine, Hershey, Pennsylvania, United States of America., Fontes M; Institut Pasteur, International Group for Data Analysis, Paris, France; Centre for Mathematical Sciences, Lund University, Lund, Sweden., Shomron N; Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel., Vignuzzi M; Institut Pasteur, Viral Populations and Pathogenesis Unit, CNRS UMR 3569, Paris, France.

Publikováno v: PLoS pathogens [PLoS Pathog] 2015 May 05; Vol. 11 (5), pp. e1004838. Date of Electronic Publication: 2015 May 05 (Print Publication: 2015).

Identification of a Feline Panleukopenia Virus from Captive Giant Pandas (Ailuropoda melanoleuca) and Its Phylogenetic Analysis.

Autor: Yang, Yuqing¹ (AUTHOR), Geng, Yi¹ (AUTHOR), Ouyang, Ping¹ (AUTHOR), Li, Yunli² (AUTHOR), Guo, Hongrui¹ (AUTHOR), Deng, Huidan¹ (AUTHOR), Hou, Rong² (AUTHOR), Lai, Weimin¹ (AUTHOR), Zhang, Dongsheng² (AUTHOR), Liu, Songrui² (AUTHOR)

Publikováno v: Transboundary & Emerging Diseases. 5/19/2023, p1-8. 8p.

Fatal canine parvovirus type 2a and 2c infections in wild Chinese pangolins (Manis pentadactyla) in southern China.

Autor: Lina, Zhang¹ (AUTHOR), Kai, Wang² (AUTHOR), Fuyu, An² (AUTHOR), Dongliang, Zhang³ (AUTHOR), Hailing, Zhang³ (AUTHOR), Xuelin, Xu² (AUTHOR), Ce, Guo² (AUTHOR), Hongmei, Yan² (AUTHOR), Yingjie, Kuang² (AUTHOR), Zhidong, Zhang² (AUTHOR), Rongguang, Lu⁴ (AUTHOR) lurongguang@cuhk.edu.cn, Yan, Hua² (AUTHOR) wildlife530@hotmail.com

Publikováno v: Transboundary & Emerging Diseases. Nov2022, Vol. 69 Issue 6, p4002-4008. 7p.

Molecular Epidemiology of Canine Parvovirus in Nigeria.

Autor: Adeyemo A. A., Aiki-Raji C. O., Akinniyi O. O., Fagbohun O. A.

Publikováno v: African Journal of Biomedical Research; May2024, Vol. 27 Issue 2, p217-224, 8p