Author

Y.-F. Pan

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Microbiology· 2 Ecology· 1

Signature Assays, Organisms & Methods

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Assay:metagenomics· 3 Research Focus:ecology & biodiversity· 2 Approach:experimental assay· 2 Research Focus:benchmarking· 1 Research Focus:database / resource· 1 Approach:deep learning· 1 Research Focus:differential expression· 1 Research Focus:host-pathogen & immune response· 1

Frequent Co-Authors

E. C. Holmes· 3 shared G.-Y. Xin· 3 shared W.-C. Wu· 3 shared B. Li· 2 shared D. Guo· 2 shared G.-Y. Luo· 2 shared J. Li· 2 shared J.-h. Tian· 2 shared

Activity by Year

2023-2024 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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3 shared papersMicrobiology

E. C. Holmes

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

Meta-transcriptomic analysis of companion animal infectomes reveals their diversity and potential roles in animal and human disease

W.-C. Wu, Y.-F. Pan, W.-D. Zhou, Y.-Q. Liao, M.-W. Peng, G.-Y. Luo, G.-Y. Xin, Y.-N. Peng, T. An, B. Li, H. Luo, V. R. Barrs, J. A. Beatty, E. C. Holmes, W. Zhao, Y. Shu

The paper analyzes meta-transcriptomic data from companion animals to identify microbial communities and assess zoonotic risks.

bioRxiv · Apr 7, 2024Microbiology

Metagenomic analysis of individual mosquitos reveals the ecology of insect viruses

Y.-f. Pan, H. Zhao, Q.-y. Gou, P.-b. Shi, J.-h. Tian, Y. Feng, K. Li, W.-h. Yang, D. Wu, G. Tang, B. Zhang, Z. Ren, S. Peng, G.-y. Luo, S.-j. Le, , M. Shi

The paper analyzes the virome of 2,438 individual mosquitoes across China to reveal viral diversity, geographic hotspots, and the impact of host phylogeny on viral composition.

bioRxiv · Aug 28, 2023 · PreprintEcology

Using artificial intelligence to document the hidden RNA virosphere

X. Hou, Y. He, P. Fang, S.-Q. Mei, Z. Xu, W.-C. Wu, J.-H. Tian, S. Zhang, Z.-Y. Zeng, Q.-Y. Gou, G.-Y. Xin, S.-J. Le, Y.-Y. Xia, Y.-L. Zhou, F.-M. Hui, , M. Shi

This study uses a deep learning algorithm to discover highly divergent RNA viruses in metatranscriptomes, identifying 161,979 potential species and 180 supergroups.

bioRxiv · Apr 18, 2023Microbiology