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Weizhong Li is a professor at the J. Craig Venter Institute working in the informatics group. Dr. Li’s research is focused on the development of algorithms and computational resources in solving data analysis problems in genomics, metagenomics, RNA-seq and other next generation sequencing data and other omics data. He is currently focused on using his expertise to better quantify and understand the human microbiome in the gut and oral cavities.
Prior to joining JCVI, Dr. Li was a senior principal scientist at Human Longevity Inc., a research scientist and investigator at University of California San Diego, a staff scientist at Sanford Burnham Prebys Medical Discovery Institute and a senior research scientist at Quorex Pharmaceuticals. He received his PhD and his BS in computational chemistry from the Nankai University in China.
Research Priorities
Computational tool development
- Ultra-fast and robust algorithms in biological sequence clustering analysis (CD-HIT), applications using clustering algorithms in various areas such as 16S rRNA analysis and improving NGS data analysis.
- Algorithms, methods and integrated pipelines for metagenomics including mapping, assembly, visualization, taxonomy identification and functional annotation.
- Computer cloud-based workflows and web portal for end-to-end RNA-seq sequence data analysis.
Metagenomics and microbiome
- Microbiome disease association through large-scale metagenomic sequencing projects for various disease types, such as IBD, liver disease, diabetes, infection and so on.
- Host-microbiome study for human and animals using multi-omics approach involving host genomics data, RNA-seq, 16S and metagenomics data.
Publications
Research Priorities
Computational tool development
- Ultra-fast and robust algorithms in biological sequence clustering analysis (CD-HIT), applications using clustering algorithms in various areas such as 16S rRNA analysis and improving NGS data analysis.
- Algorithms, methods and integrated pipelines for metagenomics including mapping, assembly, visualization, taxonomy identification and functional annotation.
- Computer cloud-based workflows and web portal for end-to-end RNA-seq sequence data analysis.
Metagenomics and microbiome
- Microbiome disease association through large-scale metagenomic sequencing projects for various disease types, such as IBD, liver disease, diabetes, infection and so on.
- Host-microbiome study for human and animals using multi-omics approach involving host genomics data, RNA-seq, 16S and metagenomics data.