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Cited by 528

The DOI matches its Crossref record; 32 of the 32 references it cites were found in a registry or an index.

OrthoVenn3: an integrated platform for exploring and visualizing orthologous data across genomes

Open access
Sun, Jiahe, Lu, Fang, Luo, Yongjiang, Bie, Lingzi, Xu, Ling, Wang, Yi·2023·Nucleic Acids Research

Abstract

Advancements in comparative genomics research have led to a growing interest in studying species evolution and genetic diversity. To facilitate this research, OrthoVenn3 has been developed as a powerful, web-based tool that enables users to efficiently identify and annotate orthologous clusters and infer phylogenetic relationships across a range of species. The latest upgrade of OrthoVenn includes several important new features, including enhanced orthologous cluster identification accuracy, improved visualization capabilities for numerous sets of data, and wrapped phylogenetic analysis. Furthermore, OrthoVenn3 now provides gene family contraction and expansion analysis to support researchers better understanding the evolutionary history of gene families, as well as collinearity analysis to detect conserved and variable genomic structures. With its intuitive user interface and robust functionality, OrthoVenn3 is a valuable resource for comparative genomics research. The tool is freely accessible at https://orthovenn3.bioinfotoolkits.net.

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Metadata

Authors
Sun, J., Lu, F., Luo, Y., Bie, L., Xu, L., & Wang, Y.
Venue
Nucleic Acids Research
Published
2023-04-28
Volume
51
Issue
W1
Pages
W397-W403
ISSN
  • 0305-1048 (ISSN-L)
  • 1362-4962
OpenAlex
W4367312522
Cited by
528
References
32
FWCI
39.45
Type
journal article
Language
en
Open access
gold

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CoChat. (2026). Citation check: OrthoVenn3: an integrated platform for exploring and visualizing orthologous data across genomes. https://app.cochat.ai/papers/10.1093/nar/gkad313
The paper
Sun, J., Lu, F., Luo, Y., Bie, L., Xu, L., & Wang, Y. (2023). OrthoVenn3: an integrated platform for exploring and visualizing orthologous data across genomes. Nucleic Acids Research. https://doi.org/10.1093/nar/gkad313

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Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.