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Bioinformatic Methods II(으)로 돌아가기

토론토 대학교의 Bioinformatic Methods II 학습자 리뷰 및 피드백

439개의 평가
76개의 리뷰

강좌 소개

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 February 2022....

최상위 리뷰


2017년 4월 5일

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


2018년 8월 19일

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

필터링 기준:

Bioinformatic Methods II의 74개 리뷰 중 51~74

교육 기관: Emad R

2022년 1월 27일

This is very good.

교육 기관: Shawn B C

2021년 10월 19일

Very informational

교육 기관: Vasantha S V

2020년 12월 15일

excellent course

교육 기관: Dr S K

2019년 1월 17일

very good course

교육 기관: Juan R T

2015년 10월 2일

Excellent course

교육 기관: Sharem M

2016년 2월 23일

Awesome Course!

교육 기관: Deepthi g

2021년 8월 29일

very useful!!!

교육 기관: Marina R V

2020년 10월 8일

Muy formativo

교육 기관: yaohuan23

2016년 2월 1일

excellent job

교육 기관: Dina A M A

2019년 6월 27일

very great

교육 기관: jose l V

2017년 9월 2일


교육 기관: Aasim M

2020년 9월 15일


교육 기관: José P C I

2015년 11월 15일

The best.

교육 기관: Nammi S K

2020년 6월 16일


교육 기관: Randy M

2020년 11월 19일


교육 기관: Shaurav B

2020년 11월 14일

The course content is good and i came to know about many protein structure prediction and analysis bioinformatic tools and gene expression and analysis tools, The course is designed very systematically but the instuctor went through the explanation videos a bit fast. Overall the course structure is good.

교육 기관: Kolchenko S

2017년 7월 15일

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.

교육 기관: Nazia T F

2020년 5월 21일

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.

교육 기관: Lucas A C

2020년 7월 28일

An excellent course, but the activities with R requiere more in depth explanation of the functions and the R language.

교육 기관: Raghavendra G

2020년 7월 25일

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

교육 기관: Catalin P

2018년 9월 1일

Quite good introductory course for Bioinformatics.

교육 기관: Anne-Karina P

2015년 10월 29일

introduction to many useful online data resources

교육 기관: Gábor E

2015년 8월 14일

At first the questions were wrong, but i contacted with the professor and he corrected them.


2020년 8월 19일

it was very informative and the labs are really good.