Back to Bioinformatic Methods II
University of Toronto

Bioinformatic Methods II

Large-scale biology projects such as the sequencing of the human genome and gene expression surveys using RNA-seq, microarrays and other technologies have created a wealth of data for biologists. However, the challenge facing scientists is analyzing and even accessing these data to extract useful information pertaining to the system being studied. This course focuses on employing existing bioinformatic resources – mainly web-based programs and databases – to access the wealth of data to answer questions relevant to the average biologist, and is highly hands-on. Topics covered include multiple sequence alignments, phylogenetics, gene expression data analysis, and protein interaction networks, in two separate parts. The first part, Bioinformatic Methods I, dealt with databases, Blast, multiple sequence alignments, phylogenetics, selection analysis and metagenomics. This, the second part, Bioinformatic Methods II, will cover motif searching, protein-protein interactions, structural bioinformatics, gene expression data analysis, and cis-element predictions. This pair of courses is useful to any student considering graduate school in the biological sciences, as well as students considering molecular medicine. These courses are based on one taught at the University of Toronto to upper-level undergraduates who have some understanding of basic molecular biology. If you're not familiar with this, something like https://learn.saylor.org/course/view.php?id=889 might be helpful. No programming is required for this course although some command line work (though within a web browser) occurs in the 5th module. Bioinformatic Methods II is regularly updated, and was last updated for February 2026.

Status: Data Processing
Status: Informatics
BeginnerCourse19 hours

Featured reviews

HD

5.0Reviewed May 5, 2020

Well organized and easy to learn with good laboratory practice.

MR

5.0Reviewed Aug 19, 2018

It was a very complete course to understand protein interaction and how to use data bases to quantify itI recommend this course to every master student doing molecular biology or genetics.

TA

5.0Reviewed Apr 21, 2020

This is a great course for anyone who wants to learn about bioinformatics.

MC

5.0Reviewed Aug 15, 2019

Excellent course! The professor was great and very responsive to the forums on the course.

F

5.0Reviewed Sep 7, 2015

I was a very very useful course, specially the heatmap plot generation and R language lab exercises was great!

SK

5.0Reviewed Apr 27, 2020

Excellent course. Complicated concepts made easy to understand. I can apply what I have studied to my own research now.

AP

5.0Reviewed Nov 11, 2020

Very good job in introducing new programs for analysing data in this field. Interesting and I hope it will benefit me in my masters degree. I recomend !

NF

4.0Reviewed May 20, 2020

The course is good overall except for the part of using R commands. I have learned many new things. I especially liked the final assignment part.

PK

5.0Reviewed Jun 7, 2020

very informative course and it is very well explainedgood work

EK

5.0Reviewed Sep 2, 2025

Dear professor Provart, My sincere thanks for a hugely beneficial course in Bioinformatic II. Your teaching made a significant difference. Elshiekh Khidir

MA

5.0Reviewed Jan 29, 2016

I really appreciate these series of courses, I want to thank Prof. Provart and his coligues for their great job on preparing and presenting these series. Thanks a lot!

RG

4.0Reviewed Jul 24, 2020

Lectures were very informative, but some (gene expression analysis) lab exercises need more explanation

All reviews

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