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Morris Lab uses machine learning and statistical modeling to help decode the
human genome. Currently, we are focused on two core research areas:
deciphering the regulatory code for gene expression and predicting the
biological function of genes and proteins. We work in close collaboration with
experimental biologists to generate in vitro and in vivo data that we use to fit
our models as well as to test and refine our in silico predictions.
Currently, we are building a comprehensive atlas of the binding preferences of
DNA- and RNA-binding proteins and are using this atlas, along with
comparative genomics and RNA expression data, to identify conserved
vertebrate enhancer sequences and microRNA targets and other cisregulatory
mRNA elements that influence mRNA expression, localization,
stability and splicing.
Our work on gene function prediction has lead to the development of the
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