The Systems Genomics Lab is interested in deciphering the complex interactions between human genetics and the human microbiome in health and disease. The group employs genome analytics and machine learning to analyze and integrate multidimensional phenotypic and multi-omics data to understand better the roles of nature and nurture in shaping our lives.
Hybrid CNN-BERT deep learning for hierarchical taxonomic classification of 16S rRNA sequences
The coral microbiome: Towards an understanding of the molecular mechanisms of coral-microbiota interactions
ALL-BGCs: An Integrated Pipeline for Metagenome Mining for Biosynthetic Gene Clusters
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