Molecular Evolution, Computational Biology, Bioinformatics, and Genomics
Recent advances in technology have made possible the rapid accumulation of massive amounts of molecular biological data. Namely, rapid sequencing has made possible the complete sequencing of entire genomes, and DNA microchip technology is advancing such that the study of the expression patterns of all genes in a genome can be analyzed rapidly. Our interest is in developing and improving analysis tools that are needed to consider such large amounts of varied data in light of studying biology and evolution on a genomic scale.
Projects in the lab include:
• Developing methods of protein sequence analysis for prediction
of aspects of their structure and protein interactions.
• Developing methods of DNA and RNA sequence analysis to
predict aspects of their function and regulation.
• Developing new bioinformatics tools for metagenomic applications.
For further information, please go to our laboratory website at http://www.uhnres.utoronto.ca/tillier/
Graduate Students:
- Alexandr Bezginov
- Greg Clarke
- Maryam Salehi
Selected References:
Link to Pubmed Publications-
A Fast and Flexible Approach to Oligonucleotide Probe Design for Genomes and Gene Families. Feng, S. and E.R.M. Tillier, Bioinformatics (2007) 23 :1195-202
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Maximizing Co-Evolutionary dependencies to discover interacting proteins. Tillier, E. R. M., L. Biro, G. Li and D. Tillo, PROTEINS: Structure, Function and Bioinformatics (2006) 63: 822-31
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Using multiple interdependency to separate functional from phylogenetic correlations in protein alignments. Elisabeth R. M. Tillier and Thomas W. H. Lui, Bioinformatics (2003) 19: 750-755
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Genome Rearrangement by Replication-Directed Translocation. Tillier, E. R. M. and R. A. Collins, Nature Genetics (2000) 26: 195-197
