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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.

状态:Molecular Biology
状态:Data Processing
初级课程小时

精选评论

PK

5.0评论日期:Jun 7, 2020

very informative course and it is very well explainedgood work

HD

5.0评论日期:May 5, 2020

Well organized and easy to learn with good laboratory practice.

CP

4.0评论日期:Aug 31, 2018

Quite good introductory course for Bioinformatics.

F

5.0评论日期:Sep 7, 2015

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

TA

5.0评论日期:Apr 21, 2020

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

MC

5.0评论日期:Aug 15, 2019

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

AR

5.0评论日期:Aug 23, 2015

Excellent course with excellent support by the Professor and Mentor. Covers what you need to know about protein bioinformatics and detailed expression analysis.

MA

5.0评论日期: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!

AP

5.0评论日期: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 !

RG

5.0评论日期:Apr 5, 2017

Gives the student real world exposure to the tools to study proteins gene regulation, etc. Instructor is involved and friendly. Highly recommended for someone who is interested in contemporary

SK

5.0评论日期:Apr 27, 2020

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

AM

5.0评论日期:Oct 19, 2015

Very informative. Loved the course. keep making more please

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显示:20/80

Rafael Brandão
4.0
评论日期:Nov 4, 2019
PRABHJEET KAUR
5.0
评论日期:May 24, 2020
Göksu
5.0
评论日期:Oct 31, 2020
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5.0
评论日期:May 22, 2020
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5.0
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5.0
评论日期:Sep 12, 2019
Nissi Paul. M
5.0
评论日期:Jan 9, 2018
NARAYANA SAIBABA KV
5.0
评论日期:May 19, 2020
Sharon K
5.0
评论日期:Apr 28, 2020
Hewan Demissie
5.0
评论日期:May 6, 2020
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4.0
评论日期:Apr 25, 2020
SHREYSHI SHREYA
3.0
评论日期:Aug 18, 2020
Miguel Angel Cuervo Espinosa
5.0
评论日期:Aug 14, 2024
Alexander Koval
5.0
评论日期:Jun 7, 2017
Benson Nyabuti Mainye
5.0
评论日期:Jun 2, 2017
Stefano Giorgetti
5.0
评论日期:Sep 11, 2015
sumit kumar
5.0
评论日期:Jan 3, 2021
Katherine Gabriela Briceño Leal
5.0
评论日期:Apr 1, 2018
Joy Debnath
5.0
评论日期:Aug 23, 2020
Robert Goldberg-Alberts
5.0
评论日期:Apr 6, 2017