Erqiang Hu
Southern Medical University
17 Papers
20 Citations
Erqiang Hu is an academic researcher from Southern Medical University. The author has contributed to research in topics: Biology & Visualization. The author has an hindex of 5, co-authored 12 publications. Previous affiliations of Erqiang Hu include Harbin Medical University.
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Papers
clusterProfiler 4.0: A universal enrichment tool for interpreting omics data.
Tianzhi Wu,Erqiang Hu,Shuangbin Xu,Meijun Chen,Pingfan Guo,Zehan Dai,Tingze Feng,Lang Zhou,Wenli Tang,Li Zhan,Xiaocong Fu,Shanshan Liu,Xiaochen Bo,Guangchuang Yu +13 more
TL;DR: An updated version of the popular Bioconductor package, clusterProfiler 4.0, which provides a universal interface for functional enrichment analysis in thousands of organisms based on internally supported ontologies and pathways as well as annotation data provided by users or derived from online databases.
8.3K
ggtreeExtra: Compact Visualization of Richly Annotated Phylogenetic Data.
Shuangbin Xu,Zehan Dai,Pingfan Guo,Xiaocong Fu,Shanshan Liu,Lang Zhou,Wenli Tang,Tingze Feng,Meijun Chen,Li Zhan,Tianzhi Wu,Erqiang Hu,Yong Jiang,Xiaochen Bo,Guangchuang Yu +14 more
TL;DR: Shuangbin Xu Zehan Dai Southern Medical University Pingfan GuoSouthern Medical University Xiaocong Fu Southern Medical university Shanshan Liu Southern MedicalUniversity Lang Zhou Southern Medical universities Wenli Tang Southern Medical Universities Tingze Feng Southern Medical School.
Exploring Epigenomic Datasets by ChIPseeker
Qianwen Wang,Ming Li,Tianzhi Wu,Li Zhan,Lin Li,Meijun Chen,W Xie,Zijing Xie,Erqiang Hu,Shuangbin Xu,Guangchuang Yu +10 more
TL;DR: The fundamental functions of ChIPseeker, including data preparation, annotation, comparison, and visualization, are explained in this article.
196
MicrobiotaProcess: A comprehensive R package for deep mining microbiome
Shuangbin Xu,Li Zhan,Wenli Tang,Qianwen Wang,Zehan Dai,Lang Zhou,Tingze Feng,Meijun Chen,Tianzhi Wu,Erqiang Hu,Guangchuang Yu +10 more
TL;DR: MicrobiotaProcess as discussed by the authors provides a comprehensive data structure, MPSE, to better integrate the primary and intermediate data, which improves the integration and exploration of the downstream data and provides flexible downstream analysis components, and provides visualization methods to assist in presenting and interpreting results.
MicrobiotaProcess: A comprehensive R package for managing and analyzing microbiome and other ecological data within the tidy framework
Shuangbin Xu,Zhan Li,Wenli Tang,Zehan Dai,Lang Zhou,Tingze Feng,Meijun Chen,Shanshan Liu,Xiaocong Fu,Tianzhi Wu,Erqiang Hu,Guangchuang Yu +11 more
- 04 Feb 2022
TL;DR: The MicrobiotaProcess package provides a comprehensive data structure, MPSE, to better integrate the primary and intermediate data, which improves the integration and exploration of the downstream data and interoperate with other packages in the R community, which further expands its analytical capabilities.