Quaid MorrisPhD
Associate Professor

Contact Info

T. (416) 978-8568
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Location

Room 616

Research Interests

Computational Biology

QUALIFICATIONS

  • Massachusetts Institute of Technology, Cambridge, MA, U.S., PhD in Computational Neuroscience, 2002.
  • University of Toronto, BSc in Computer Science, 1996.

OTHER AFFILIATIONS

  • Department of Molecular Genetics, University of Toronto.
  • Department of Computer Science, University of Toronto.
  • Department of Electrical and Computer Engineering, University of Toronto.

MY RESEARCH OVERVIEW

Decoding the words belonging to the RNA regulatory code 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 GeneMANIA prediction server.

 

SELECT PUBLICATIONS

 

View Pubmed search of Dr. Morris' full list of publications.

 

 

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