About us

Our lab is primarily a computational biology/bioinformatic group that develops and uses a wide range of genomic, bioinformatic, and statistical methods, we mainly focus on the following fields:

  • Developing computational tools for Single cell analysis
  • Developing machine learning methods on multiple biological phenotypes
  • Developing database for multiple biological knowledge
  • Developing bioinformatics platform for traditional Chinese medicine

We are always looking for new group members with passion, talent, and grit!

Predicting intercellular communication based on metabolite-related ligand-receptor interactions with MRCLinkdb. BMC biology, 2024, accepted.

CellCall: Integrating paired ligand-receptor and transcription factor activities for cell-cell communication. Nucleic Acids Research,2021, 49 (15), 8520-8534.

Cellinker: a platform of ligand-receptor interactions for intercellular communication analysis. Bioinformatics, 2021, 37 (14), 2025-2032.

P450Rdb: A manually curated database of reactions catalyzed by cytochrome P450 enzymes. Journal of Advanced Research, 2023.

TCM2COVID: A resource of anti-COVID-19 traditional Chinese medicine with effects and mechanisms. iMeta, 2022, 1(4): e42.

cncRNAdb: a manually curated resource of experimentally supported RNAs with both protein-coding and noncoding function. Nucleic Acids Research,2021, 49 (D1), D65-D70.

Contactzhy1001@alu.uestc.edu.cn
@ Department of Bioinformatics

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