Pollard Group -- Gladstone Institutes, UC San Francisco
 
 

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Research

Our group develops statistical and computational methods for the analysis of massive genomic datasets. We are interested in genome evolution, in particular identifying genome sequences that differ significantly between or within species and their relationship to biomedical traits of interest. Many of these sequences are non-coding, such as regulatory signals, structural sites, and RNA genes. We aim to identify specific DNA alterations that are responsible for novel functionality, such as variation in gene expression.

We are involved in two large collaborative projects:
iSEEM - Integrating Statistical, Evolutionary & Ecological Approaches to Metagenomics

B2B - Bench to Bassinet: The Epigenetic Landscape of Heart Development
We are working on methods development projects in the following areas:
  • Comparative Genomics
    • Human Accelerated Regions (list)
    • fast evolving DNA in other lineages
    • detecting lineage-specific selection
    • biased gene conversion
    • gene duplication
    • transcription factor binding site divergence
    • ecological diversity
  • Population Genetics
  • Phylogenomics
  • Next-generation Sequencing
  • Multivariate Statistics
  • Open Source Software
Applications include genome-wide studies in the following species:
  • human and non-human primates
  • metagenomic microbial communities
  • model organisms (mice, yeast, flies)
For more info, see our Gladstone Institutes website.