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= Graduate =
== Courses ==
* [[http://biochemistry.utoronto.ca/graduate_studies/courses/JTB2010H/index.html|Proteomics and Functional Genomics]] (JTB 2010H)
* [[http://biochemistry.utoronto.ca/graduate_studies/courses/JTB2020H/index.html|Applied Bioinformatics]] (JTB 2020H)
* [[http://www.cs.toronto.edu/~brudno/csc2427/index.html|Algorithms in Molecular Biology]] (CSC2427)
* [[http://www.utoronto.ca/medicalgenetics/student%20site/course%20requirements.htm|Topics in Molecular and Medical Genetics I]] (MMG 1012H) (some relevant topics to computational biology e.g. Functional Genomics/Proteomics and Data analysis approaches for functional genomics and proteomics)
* [[http://medbio.utoronto.ca/student/handbook05/course_desc.html#1010|Quantitative Biology - Statistical Methods]] (MBP1010H)
* [[http://medbio.utoronto.ca/student/MBP1011.html|Foundations of Bioinformatics]] (MBP 1011H)
* Engineering Models in Biology (BME 1412H)
* Biological Communication Processes (BME 1413H)
* [[http://iec01.mie.utoronto.ca/~thodoros/courses/mie1511/|Data Integration in Life Sciences]] (MIE 1511)
* Computational Structural Biology - CSC2431H Lec 0102 Weds 10am-12noon BA B024 (2007)
* In the post-genomic era, several key problems in molecular biology center on the determination and exploitation of three-dimensional protein structure and function. This graduate course will cover the computational aspects of Structural Biology - the modeling and computer simulation of structure, function, and dynamics of biological molecules. We will study algorithms to facilitate protein structure determination by X-Ray Crystallography and Nuclear Magnetic Resonance (NMR) Spectroscopy, Protein-Protein Interactions, Computer-Assisted Pharmaceutical Design, and Structure/Function Analysis. In addition to covering historic and contemporary algorithms, we will discuss open problems plaguing the field. The course is intended for computer science graduate students, and all the required biology will be explained in the class. Students in biological and related sciences with a strong computational background are strongly encouraged to participate.
* [[http://ccnet.utoronto.ca/20071/mat1880hs/|20071 / MAT1880HS - Mathematical Methods in Biology]]
* [[http://www.cs.toronto.edu/~brudno/|CSC 2431 - Topics in Computational Biology: Analysis of Next Generation Sequencing Data]] First offered in 2008.
Note: check with each department to see which year the courses are offered, as many are not offered annually.
== Programs ==
* [[http://p-b.med.utoronto.ca/|Collaborative Program in Proteomics and Bioinformatics]]
= Undergraduate =
== Courses ==
* 4th Year Bioinformatics (BCH441H / BCH1441H)
* BCH441H is a bioinformatics survey course, cross-listed as BCH1441H. The course provides an overview of current appplications of computational techniques in life-science laboratories. It discusses the most important strategies and resources for annotation of biological sequences on the Internet, their judicious application, and the interpretation of results. Lectures will normally be introduced through pre-reading material. Assignments will complement the lectures by practicing techniques of computational molecular data analysis, with an emphasis on Web based tools.
* [[https://ccnet.utoronto.ca/20081/mie457h1s/?cc=20081/mie457h1s|Knowledge modelling and management]] - Michael Gruninger
== Programs ==
* Bioinformatics and Computational Biology Specialist Program
* Bioinformatics and Computational Biology at the University of Toronto is a full, four year Specialist Program of Study, that is balanced between its foundational disciplines while covering advanced topics in both the theoretical and the life sciences. The program draws on the University of Toronto's state-of-the-art facilities across the Departments of Biochemistry, Computer Science, Botany and Zoology; as well, it is firmly embedded in a comprehensive landscape of world-leading graduate and postgraduate research in one of the University's priority areas. The Program aims to train the generalist, who will become creative at the intersection of two fields, rather than pursue their subspecialization. Accordingly introductory and advanced courses in mathematics, statistics and machine learning, computer science, molecular biology and genetics are included in the program, as well as specialized bioinformatics courses. Graduates will be well prepared to pursue graduate studies in any of the participating departments, or to apply their skills in research-oriented industry positions.
= Certificate Programs =
* [[http://bioinformatics.ca/|Canadian Bioinformatics Workshops]] teach 1 or 2 week long intensive courses on bioinformatics, genomics, proteomics and bioinformatics software tool development. A certificate program, accredited by major Canadian Universities, is also available.