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学生对 多伦多大学 提供的 生物信息学方法 II 的评价和反馈

309 个评分
57 条评论


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 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 March 2020....



Apr 06, 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


Jan 09, 2018

Hi Nicholas, Thank you so much for giving a lot of information. Bioinformatic Methods II was little difficult but understood after repeating the lad discussions. Thanks a lot.


26 - 生物信息学方法 II 的 50 个评论(共 56 个)

创建者 Giovanny A

Nov 10, 2015

Excelente Curso, muy bueno, didactico y con excelentes aplicaciones

创建者 Hewan D

May 06, 2020

Well organized and easy to learn with good laboratory practice.


Jun 08, 2020

very informative course and it is very well explained

good work

创建者 Anthony M

Oct 20, 2015

Very informative. Loved the course. keep making more please

创建者 Padma S

Sep 16, 2017

An amazing course....highly recommended.

创建者 Olena P

Dec 24, 2015

Great course with the kindest professor.

创建者 Dr. R R E

Sep 06, 2017

Truly Knowledgeable course........

创建者 Maaly a

Apr 24, 2017

Very useful and interesting course

创建者 Trevor S M

Oct 09, 2016

well structured and useful course

创建者 Bart S

Jun 22, 2016

Outstanding, do it again!

创建者 saroj p

Mar 25, 2016

good but lengthy videos..

创建者 Joseph I E

Mar 02, 2020

great course, thanks

创建者 Malcolm B

Oct 09, 2016

Wonderful course. :)

创建者 Harini

Jun 23, 2020

It's is very useful

创建者 shikha K

Jan 17, 2019

very good course

创建者 Juan R T

Oct 02, 2015

Excellent course

创建者 Sharem M

Feb 23, 2016

Awesome Course!

创建者 Deepthi C

Jul 24, 2016

very useful!!!

创建者 yaohuan23

Feb 01, 2016

excellent job

创建者 Dina A M A

Jun 27, 2019

very great

创建者 José L V A

Sep 02, 2017


创建者 José P C I

Nov 15, 2015

The best.

创建者 Nammi S K

Jun 16, 2020


创建者 Mateusz J

Apr 25, 2020

The first part is very well presented however what I did not particularly like was the part where R program was included. It basically taught to copy and paste R commands into the program without teaching how the program really works, so in the future, we still won't be able to use it. Other than that, great course!

创建者 Kolchenko S

Jul 15, 2017

This was extremely usefull course for me. The only thing I can suggest is making a small course book with all methods from this course. As for assignments, probably it could be better no include more questions to it, like it has been done in lab notes, not just five.