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Kursteilnehmer-Bewertung und -Feedback für Bioinformatic Methods II von University of Toronto

4.7
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398 Bewertungen
73 Bewertungen

Über den Kurs

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/bio101 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 2021....

Top-Bewertungen

RG
5. Apr. 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

MS
19. Aug. 2018

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.

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51 - 72 von 72 Bewertungen für Bioinformatic Methods II

von Dr S K

17. Jan. 2019

very good course

von Juan R T

2. Okt. 2015

Excellent course

von Sharem M

23. Feb. 2016

Awesome Course!

von Deepthi g

24. Juli 2016

very useful!!!

von Marina R V

8. Okt. 2020

Muy formativo

von yaohuan23

1. Feb. 2016

excellent job

von Dina A M A

27. Juni 2019

very great

von jose l V

2. Sep. 2017

Excellent!

von Aasim M

15. Sep. 2020

Excellent

von José P C I

15. Nov. 2015

The best.

von Nammi S K

16. Juni 2020

Good

von Randy M

19. Nov. 2020

A++

von Shaurav B

14. Nov. 2020

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.

von Kolchenko S

15. Juli 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.

von Nazia T F

21. Mai 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.

von Lucas A C

28. Juli 2020

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

von Raghavendra G

25. Juli 2020

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

von Catalin P

1. Sep. 2018

Quite good introductory course for Bioinformatics.

von Anne-Karina P

29. Okt. 2015

introduction to many useful online data resources

von Erdős G

14. Aug. 2015

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

von SHREYSHI S

19. Aug. 2020

it was very informative and the labs are really good.

von Ayesha M

16. Feb. 2021

the labs are not elaborative. I am unable understand it effectively.