Mathematics of Information Technology and Complex Systems

Team Members

Project Leader

Michael Brudno
Department of Computer Science
Banting and Best Department of Medical Research
University of Toronto
brudno AT cs DOT toronto DOT edu

Michael Brudno is the Canada Research Chair in Computational Biology and an Assistant Professor in the Department of Computer Science and Banting & Best Department at the University of Toronto. His work in the last two years has addressed the overall problem of analyzing and interpreting short read data generated by Next-Generation Sequencing (NGS) technologies. Previously, he had worked on the development of the LAGAN Toolkit for sequence alignment, one of the first packages for multiple comparison of whole genomes, the VISTA Genome Browser, and the ProbCons package for protein alignment.

Core Investigaors

Asher Cutter
Department of Ecology & Evolutionary Biology
University of Toronto
asher DOT cutter AT utoronto DOT ca

Asher Cutter is the Canada Research Chair in Evolutionary Genomics, and an assistant professor in the Department of Ecology and Evolutionary Biology at the University of Toronto. His research expertise is on the study of population genomics of nematodes. He brings to the project a deep understanding of genomic evolution, especially at the protein level. In the past he has showed that genes expressed after the onset of maturity evolve much faster than genes expressed earlier in development, quantified the effects of genome features on gene function and evolution, and Identified candidate regions for adaptive evolution in the human genome.

Alan Moses
Department of Ecology & Evolutionary Biology
Department of Cellular and Systems Biology
University of Toronto
alan DOT moses AT utoronto DOT ca

Alan Moses is an assistant professor in the Departments of Cellular and Systems Biology and Ecology and Evolutionary Biology. His expertise includes molecular evolution, especially of regulatory non- coding areas of the genome, transcription binding site detection, and computational genomics. He has characterized the rates and patterns of evolution in binding sites of sequence-specific DNA- binding proteins, designed computational tools that could explicitly calculate the likelihood that a particular sequence was evolving in a manner consistent with a certain evolutionary model and developed statistical methods to identify non-conserved binding sites and quantitatively analyze the patterns of binding site loss and gain.

Lucian Ilie
Department of Computer Science
University of Western Ontario
ilie AT csd DOT uwo DOT ca

Lucian Ilie is Associate Professor in the Department of Computer Science, University of Western Ontario and Adjunct Professor in the Department of Computing and Software, McMaster University. His expertise is in Bioinformatics and String Algorithms. He is working on designing algorithms and software for genome assembly, read mapping, and correcting high throughput sequencing data. He developed the most efficient algorithm for producing highly sensitive spaced-seed, which are used in a wide variety of bioinformatics tools.