Biostatistics and Computational Biology Laboratory
University of Iowa, USA
Welcome to the GitHub page for the BioComs Lab! We are a research group dedicated to advancing the fields of biostatistics and computational biology through innovative analysis, modeling, and interpretation of complex biological data. Our lab specializes in integrative and computational approaches to address scientific questions in health and disease, with a particular focus on microbiome research, epigenetics, and multi-omics data integration.
We investigate the composition, functional profile, and variability of the oral microbiome. Our team applies taxonomic and functional profiling methods combined with statistical analysis to understand how the oral microbiome influences health outcomes and disease progression.
Our work explores DNA methylation and other epigenetic modifications to elucidate their roles in gene regulation and disease. We integrate methylation data with other omics data to uncover biological insights into complex diseases.
The lab focuses on integrating diverse types of omics data, including genomics, transcriptomics, methylomics, proteomics, and metabolomics, to provide a comprehensive view of biological systems. One group of students work on meta-omics integrations.
We utilize machine learning and advanced statistical modeling to analyze high-dimensional datasets. Our approaches include feature selection, predictive modeling, and data-driven hypothesis testing.
Our lab is collaborative, and we are always looking for potential collaborators and interested students. If you are passionate about computational biology, biostatistics, or machine learning applications in health, we would love to connect!
- Principal Investigator: Dr. Erliang Zeng
- Institution: University of Iowa
- Email: erliang-zeng@uiowa.edu