Applied Bioinformatics Main Page

Applied Bioinformatics

Welcome to the Applied Bioinformatics Course Wiki.

These wiki pages are provided to coordinate information, activities and projects in the applied bioinformatics courses taught by Boris Steipe at the University of Toronto. If you are not one of my students, you can still browse this site, however only users with a login account can edit or contribute or edit material. If you are here because you are interested in general aspects of bioinformatics or computational biology, you may want to review the Wikipedia article on bioinformatics, or visit Wikiomics. Contact boris.steipe(at)utoronto.ca with any questions you may have.

The Courses

BCB410H1F is the undergraduate course code and JTB2020H1S is the course code for graduate students. However the delivery and scope of the courses is very different:

• BCB410 is intended for students in the Bioinformatics and Computational Biology Specialist Program. Therefore I assume that all students are very familiar with a wide variety of computer science related topics and their practical application.
• JTB2020 is designed for students in the Collaborative PhD Program in Bioinformatics and Genome Biology. These students have a wide variety of backgrounds and prior experience. They participate in the Computational Systems Biology Course and go through a number of targeted exercises in applied bioinformatics to add as much material to their knowledge- and skill set as can reasonably be acquired in a single term.

Continue here for the current BCB410 course page ...

Topics

Hardware High performance computing Cloud computing   Systems and Tools Unix Unix system administration Unix automation Program installation wget Network Configuration Apache MySQL Tools for the bioinformatics lab GBrowse and LDAS   Programming IDE (Integrated Development Environment) Regular Expressions Screenscraping Perl Perl basic programming Perl hash example Perl LWP example Perl MySQL introduction Perl OBO parser Perl basic programming Perl programming exercises 1 Perl programming exercises 2 Perl programming Data Structures Perl references Perl simulation Perl: Object oriented programming Perl: Ugly programming BioPerl PHP Relational database principles BioPython Graphical output Autonomous agents Algorithms Algorithms on Sequences Dynamic Programming Multiple Sequence Alignment Genome Assembly   Algorithms on Structures Docking Protein Structure Prediction   Algorithms on Trees Computing with trees   Algorithms on Networks Network metrics Dijkstras Algorithm Floyd Warshall Algorithm Communication and collaboration MediaWiki HTML essentials HTML 5 SADI Semantic Automated Discovery and Integration CGI   Statistics Pattern discovery Correlation Clustering methods Cluster metrics The Map Equation Machine learning Information theory R Introductory tutorial to R R plotting R programming R EDA R regression R PCA R Clustering R Classification R hypothesis testing Bioconductor   Applications Data integration Text mining HMMER High-throughput sequencing Functional annotation Microarray analysis