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BNF5106 / BIOL5515 Bioinformatics

Course description:

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.

Reference book

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.

General objectives

Understand the development of bioinformatics through interaction among molecular biologists, mathematical statisticians and computational scientists. Network with active bioinformaticians at University of Ottawa.

Specific objectives

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.

Evaluation:

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)
Participation: 10%

Time and location:

Check

Web page:

BNF5106.aspx

Coordinator:

Prof. Xuhua Xia, Rm. 278, 30 Marie Curie.
E-mail: xxia@uottawa.ca
Phone: 562-5800 ext 6886

Office hour:

Friday, 2:00-5:00 pm

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