Developing genetic technology to figure out roughly how parts of the cell fit together, and to relate genomic variation to human disease
Current experimental interests:
Current computational interests:
- Generating complete 'lookup tables' of functional missense variation in human disease genes, including never-before-seen variation.
- Exploring high-order complex traits using an 'engineered population' approach
- En masse condition-dependent protein interaction screening technologies using next-generation sequencing of recombinant DNA barcodes.
Information on positions available in the Roth lab.
- Computational tools to enable a functional variation assay for every human disease gene
- Inferring order of action in genetic pathways.
- Exploring the impact of neoantigenicity on patterns of cancer mutations