Public Health and Health Professions
Liu Lab
Led by Jinling Liu · Epidemiology
What we study
The Liu Lab studies multi-omics data to understand diseases like aging and cancer, using statistical and deep learning methods. They integrate genomics, proteomics, and metabolomics to find biomarkers and signaling pathways for precision medicine.
What working here is like
- Computational
- Coding required
- Project
- 1
- Papers
- 3
Current projects
A novel framework for estimating personalized genomic variants of hypertension for precision medicine
Developing methods to analyze multi-omics data for personalized hypertension treatment.
Summaries are written by AI in plain language from public symposium abstracts and may be imperfect.
Recent papers, explained
- Weak physiological performance in transplanted corals: Four-season multi-omics and management insights
2026 · Ecological Engineering
- WGS2IBI: a cloud-based workflow for individualized Bayesian inference from whole genome sequencing data
2026 · BMC Bioinformatics
Builds a cloud-based tool for analyzing whole-genome sequencing data in precision medicine.
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- Metagenomic evidence for climate-associated variation in microbial methylmercury production across peatlands
2026 · Communications Earth & Environment
Finds links between climate and microbial genes affecting mercury production in peatlands.
Plain-language summaries are AI-written and reviewed by us; check the paper for details.
How to reach out
Jinling Liu hasn't set up this page yet. You can also look them up in the UF directory (search “Jinling Liu”).