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BNF5106 / BIOL5515 Bioinformatics
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Course description:
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Major concepts and methods of bioinformatics. Topics may include, but are not limited to: genetics, statistics & probability theory, alignments, phylogenetics, genomics, data mining, protein structure, cell simulation and computing.
Lecutres are given by multiple professors active in bioinformatic research. |
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Reference book
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1. Deonier RC, Tavare S and Waterman MS. 2005. Computational genome analysis. Springer, New York.
2. Xia, X. 2007. Bioinformatics and the cell: Modern computational approaches in genomics, proteomics and transcriptomics.
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General objectives
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Understand the development of bioinformatics through interaction among molecular biologists, mathematical statisticians and computational scientists. Network with active bioinformaticians at University of Ottawa.
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Specific objectives
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Learn 1) data resources such as genomic, transcriptomic, proteomic and
epigenetic data, and 2) a variety of bioinformatics algorithms including string
matching, motif characterization, genomic rearrangment, sequence alignment,
phylogenetics. Develop and complete a mini research project jointly with the
coordinator based on what has been learned. |
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Evaluation:
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1st seminar on a key bioinformatic method/algorothm: 20%
2nd seminar on the mini research project: 20%
1 manuscript from the mini research project, formatted for a specific journal (Here is a WORD template for my own students):
50%
Participation: 10%
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Web page:
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BNF5106.aspx
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Coordinator:
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Prof. Xuhua Xia, Rm. 278, 30 Marie Curie.
E-mail: xxia@uottawa.ca
Phone: 562-5800 ext 6886
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Office hour:
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Friday, 2:00-5:00 pm
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