基本信息
views: 39
![](https://originalfileserver.aminer.cn/sys/aminer/icon/show-trajectory.png)
Bio
The background of Peter W. Li, Ph.D., covers software and database engineering, genome assembly and annotation, and gene expression and genotyping technologies.
Dr. Li architected some of the major databases used in the early phase of the Human Genome Project at Johns Hopkins University: Genome Database and Online Mendelian Inheritance in Man.
At Celera Genomics, he led numerous teams related to genome assembly, quality assurance, annotation, single-nucleotide polymorphism (SNP) mining, expression integration and multispecies orthology.
In addition, he managed bioinformatics content and processes for Applied Biosystems gene expression and genotyping assays. He also served on the Scientific Advisory Council for Applied Biosystems to promote scientific excellence and training.
Focus areas
Dr. Li's research interests at Mayo Clinic include genomic analysis and system analysis, especially for practical applications in translational and individualized medicine. He is currently focused on data mining across different data types, pathway and network analysis, and supercomputer architectures.
In the database domain, Dr. Li is participating in enterprise data modeling and developing a new database architecture for organizing and translating meta-data and instance data for research. This new database architecture, Temporal Entity-Attribute-Value with Ownership (TEAVO), allows clinician-scientists to build, manage and analyze patient registries without the need for database engineers to design and query the database for them. It enables end-users to create ad-hoc registries with minimal IT support but still allows efficient IT management of registry resources.
Dr. Li and his team have developed a novel data mining methodology, Association Rule Mining, which finds clinically significant complex interactions from heterogeneous high-dimensional data sets. This has been applied to diabetes, Alzheimer's disease and Parkinson's disease.
In addition, Dr. Li is leading the development of a genome assembler for next-generation sequencing data and a just-in-time individualized cohort analysis using a Cray XMT2, a novel supercomputer.
Significance to patient care
Dr. Li's research is enabling the next generation of clinical care:
Applying genomic data to personalize medicine
Managing complex patterns of disease comorbidities
Exploring just-in-time clinical hypothesis testing through efficient data collection, query and analysis
Research Interests
Papers共 35 篇Author StatisticsCo-AuthorSimilar Experts
By YearBy Citation主题筛选期刊级别筛选合作者筛选合作机构筛选
时间
引用量
主题
期刊级别
合作者
合作机构
Anene Chukwuemeka George Nzelu,Dominic Lee,Wilson Tan,Zenia Tiang, A. Matias,Peter Li,Melissa Fullwood,Roger Foo
mag(2015)
Cited23Views0Bibtex
23
0
Load More
Author Statistics
Co-Author
Co-Institution
D-Core
- 合作者
- 学生
- 导师
Data Disclaimer
The page data are from open Internet sources, cooperative publishers and automatic analysis results through AI technology. We do not make any commitments and guarantees for the validity, accuracy, correctness, reliability, completeness and timeliness of the page data. If you have any questions, please contact us by email: report@aminer.cn