News archive - 2019

Wednesday, August 21, 2019

Tree of life: Powerful online tool will help researchers make new genomic discoveries

illustration showing the AnnoTree interface overview

University of Waterloo researchers have developed a powerful new online tool that allows users to navigate through an interactive microbial tree of life, and to generate new scientific hypotheses and discoveries.

By integrating data across thousands of microbial genomes, “AnnoTree” provides a comprehensive framework for exploring the evolution of microbial genes and functions, and can be used to advance research across a wide range of industries including microbiology, biotechnology, industrial products, biofuels, and food science.

Wednesday, April 17, 2019

Professor Lila Kari spearheads development of software tool that answers fascinating questions in evolutionary biology

image depicting Machine Learning with Digital Signal Processing

Cheriton School of Computer Science Professor and University Research Chair Lila Kari has spearheaded the development of a software tool that can provide conclusive answers to some of the most fascinating questions in evolutionary biology. 

Monday, March 25, 2019

Professor Bin Ma receives $463k grant from Genome Canada to improve precision medicine

photo of Professor Bin Ma

Cheriton School of Computer Science Professor Bin Ma has received $462,998 in research support from Genome Canada for an ambitious three-year project titled “Software for peptide identification and quantification from large mass spectrometry data using data independent acquisition.” Additional funds, including a $154,327 grant from the Ontario Research Fund, bring the total amount to $925,987.

Tuesday, January 1, 2019

Professor Anita Layton named Canada 150 Research Chair in Mathematical Biology and Medicine

photo of Anita Layton

Professor Anita Layton has been named a Canada 150 Research Chair as part of the Government of Canada’s Canada 150 Research Chairs Program. She is the chairholder for her work in Mathematical Biology and Medicine.

A $350,000 investment per year for seven years will support Professor Layton’s research on the mathematical and computational modelling of blood flow dynamics and kidney function. Her computational methods have been adopted by others to solve mathematical equations arising in combustion, blood flow and other problems.

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