The Novembre research group uses computational tools to study genetic diversity in natural populations. Our goal is to develop widely used statistical methods for intelligently extracting information from large-scale genomic data with the aim to improve understanding of: (1) basic genomic biology, (2) the biology of heritable disease traits, (3) the genetic basis of evolutionary processes, and (4) the history and evolution of various species, especially humans. From a disciplinary perspective, most of the ideas we use are from theoretical population genetics, statistical genetics, and computational statistics. Much of our work is invigorated by addressing data from emerging genotyping and sequencing technologies applied to large or particularly interesting population samples.
John Novembre, PhD
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Professor of Human Genetics
Committee on Genetics, Genomics and Systems Biology - Research and Scholarly Interests: Computational Biology, Computational Statistics, Data Science, Genomics, Human Genetics, Molecular Evolution, Population Genetics
- Websites: Novembre Lab Site, Research Network Profile
- Contact: jnovembre@uchicago.edu
- Graduate Programs: Genetics, Genomics & Systems Biology, UChicago Biosciences, Human Genetics, Ecology and Evolution, Committee on Evolutionary Biology