Noncoding regulatory variation

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Project Description

A variety of rotation projects are available including:

- Analysis of massively parallel reporter assays to identify regulatory variants

- Application of machine learning models to predict the function of non-coding genetic variants

- Analysis of single-cell gene expression and chromatin datasets

- Analysis of “Superb-seq” data consisting of single cell readouts of CRISPR edits and transcriptomes.