About the Author

Guangchuang Yu (https://yulab-smu.top) is a professor of Bioinformatics and director of the Department of Bioinformatics at Southern Medical University. He earned his Ph.D. from the School of Public Health, The University of Hong Kong. As an active R user, he has authored several R packages, such as r CRANpkg("aplot"), r CRANpkg("badger"), r Biocpkg("ChIPseeker"), r Biocpkg("clusterProfiler"), r Biocpkg("DOSE"), r CRANpkg("emojifont"), r Biocpkg("enrichplot"), r CRANpkg("ggbreak"), r CRANpkg("ggfun"), r CRANpkg("ggimage"), r CRANpkg("ggplotify"), r Biocpkg("ggtree"), r Biocpkg("GOSemSim"), r CRANpkg("hexSticker"), r CRANpkg("meme"), r Biocpkg("meshes"), r CRANpkg("nCov2019"), r CRANpkg("plotbb"), r Biocpkg("ReactomePA"), r CRANpkg("scatterpie"), r CRANpkg("seqmagick"), r Biocpkg("seqcombo"), r CRANpkg("shadowtext"), r CRANpkg("tidytree") and r Biocpkg("treeio"). He has supervised post-graduate students to develop a few other packages, including r Biocpkg("ggmsa"), r Biocpkg("ggtreeExtra"), r Biocpkg("MicrobiomeProfiler") and r Biocpkg("MicrobiotaProcess").

His research group aims to generate new insights into human health and disease through the development of new software tools and novel analysis of biomedical data. The software package developed by his research group helps biologists analyze data and reveal biological clues hidden in the data.

He has published several journal articles, including 5 highly cited papers (Yu et al., 2012, 2017; Yu, Wang, Yan, et al., 2015; Yu, Wang, & He, 2015; Yu & He, 2016). The articles have been cited more than 10,000 times. The ggtree (Yu et al., 2017) paper was selected as a feature article to celebrate the 10th anniversary of the launch of Methods in Ecology and Evolution1. He was one of the 2020 Highly Cited Chinese Researchers (Elsevier-Scopus) in Biomedical Engineering.

Yu, G., & He, Q.-Y. (2016). ReactomePA: An r/bioconductor package for reactome pathway analysis and visualization. Molecular BioSystems, 12(2), 477–479. https://doi.org/10.1039/C5MB00663E
Yu, G., Smith, D. K., Zhu, H., Guan, Y., & Lam, T. T.-Y. (2017). Ggtree: An r package for visualization and annotation of phylogenetic trees with their covariates and other associated data. Methods in Ecology and Evolution, 8(1), 28–36. https://doi.org/10.1111/2041-210X.12628
Yu, G., Wang, L.-G., Han, Y., & He, Q.-Y. (2012). clusterProfiler: An r package for comparing biological themes among gene clusters. OMICS: A Journal of Integrative Biology, 16(5), 284–287. https://doi.org/10.1089/omi.2011.0118
Yu, G., Wang, L.-G., & He, Q.-Y. (2015). ChIPseeker: An R/Bioconductor package for ChIP peak annotation, comparison and visualization. Bioinformatics, 31(14), 2382–2383. https://doi.org/10.1093/bioinformatics/btv145
Yu, G., Wang, L.-G., Yan, G.-R., & He, Q.-Y. (2015). DOSE: An r/bioconductor package for disease ontology semantic and enrichment analysis. Bioinformatics, 31(4), 608–609. https://doi.org/10.1093/bioinformatics/btu684

  1. 10th Anniversary Volume 8: Phylogenetic tree visualization with multivariate data: https://methodsblog.com/2020/11/19/ggtree-tree-visualization/↩︎