Research:
Graduate studies:
Undergraduate studies:
Lab information:
Photographs
Contact:
Bioinformatics Group
School of
Computer Science
University of Waterloo
200 University Ave W
Waterloo, ON N2L 3G1
Canada
E-mail:
Dan Brown

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Graduate Studies in Bioinformatics
Bioinformatics is a young, vibrant and growing area of research that
applies computer science techniques to computational problems that
arise in contemporary biological and medical research. These
techniques are diverse and include algorithm design and analysis,
database design and management, data mining, physical modeling,
simulation studies, data structure design, software development,
etc. There are now many conferences, journals and funding agencies
that support research in bioinformatics.
At Waterloo, research has focused on the following topics:
- Genome analysis:
- Gene prediction in eukaryotes and prokaryotes
- Genome duplication and rearrangement
- Horizontal transfer of genes
- Prediction of regulatory and other signals
- Evolutionary analysis:
- Phylogenetic algorithms
- Evolutionary modeling techniques
- Sampling from phylogenetic trees
- Fundamental algorithms:
- Sequence alignment and consensus
- Proteomics:
- Protein folding
- Protein secondary structure prediction
We also study a variety of interesting algorithmic problems, inspired by biology.
The Bioinformatics Research Group in the School of Computer Science at
the University of Waterloo consists of five faculty members: from Computer Science,
Dan Brown,
Forbes Burkowski,
Ming Li and
Ian Munro; and Brendan McConkey (cross-appointed from Biology), along with several
postdoctoral fellows, research associates and graduate students.
We are always interested in having new students join our group. Ideal
candidates have a background in computer science, and also know a moderate
amount of biology. Graduate study in our group leads to the M.Math in
Computer Science (equivalent to an M.S., except that we are housed in
Waterloo's Math Faculty), and then to the Ph.D.
A few comments on our program: - As we are housed in the School of
CS, we really cannot accept students with no background in Computer
Science, as they will require too much remedial study. Additionally, the
requirements for an MMath include taking courses at the graduate level in
CS outside of bioinformatics. We are very interested in students
with a reasonable background in CS and substantial experience with biology
as well.
- Our program is heavily research-oriented. We are not really
appropriate for many prospective students seeking a way of re-directing
their career into bioinformatics hacking.
- Part-time study is possible, especially for the M.Math, Essay option.
However, it's not the best of ideas; part-timers can't involve themselves
fully in the research environment of the CS school, and are also not
eligible for financial aid.
With that in mind, students interested in pursuing a graduate degree
in computational biology or bioinformatics may contact one of the
above faculty members. This is not, by any means, necessary, as we
will be unable to evaluate you without your having applied to the CS
school; it will be just as effective for you to simply apply directly
to the School. For information about admission and financial support,
please see the CS
grad student admission information web page.
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