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Bioinformatic Methods I

University of Toronto via Coursera

Overview

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 (this one), deals with databases, Blast, multiple sequence alignments, phylogenetics, selection analysis and metagenomics.

The second part, Bioinformatic Methods II, covers 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. Both provide an overview of the many different bioinformatic tools that are out there.

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/bio101 might be helpful. No programming is required for this course.

Bioinformatic Methods I is regularly updated, and was completely updated for January 2021.

Taught by

Nicholas Provart

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Reviews

4.0 rating, based on 9 reviews

Start your review of Bioinformatic Methods I

  • Adelyne Chan completed this course, spending 2 hours a week on it and found the course difficulty to be easy.

    I am a biology student and found the course quite easy to follow, and the different databases which Prof Provart was very interesting and relevant to the work I wish to do in research. However, I have had friends (not from a science background) who took the course at the same time as I did but had to drop out because they could not follow the material - therefore the prerequisite of molecular biology is one that is necessary.
  • Kier Mitchel Pitogo completed this course, spending 3 hours a week on it and found the course difficulty to be medium.

    I don't have any background in Molecular Biology that is why I find the course quite difficult to follow. However, by reading the materials thoroughly and patiently helped me finish a certain topic/activity. This is really helpful especially if one considers to delve deeper into biotechnology and the related disciplines. Good thing I have a quite good background in Biochemistry and that helped me finished the course.
  • Rahul Mallick completed this course, spending 5 hours a week on it and found the course difficulty to be medium.

    It's technically the paid course. Because without payment or upgrading account the user cannot participate in quiz. Otherwise the course is fine for the beginner level of bioinformatics.
  • Lorenzo Mazza

    Lorenzo Mazza is taking this course right now and found the course difficulty to be medium.

    I know this website just know, and I am beginnnig study know. I think is very good website and give us a lot of material for study
  • Carie Harling is taking this course right now.

  • Ilya Rusin completed this course.

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  • Catherine Ndagire completed this course.

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