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Вернуться к Биоинформационные методы II

Отзывы учащихся о курсе Биоинформационные методы II от партнера Торонтский университет

4.7
звезд
Оценки: 443
Рецензии: 77

О курсе

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 2022....

Лучшие рецензии

MS

19 авг. 2018 г.

It was a very complete course to understand protein interaction and how to use data bases to quantify it

I recommend this course to every master student doing molecular biology or genetics.

RG

5 апр. 2017 г.

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

Фильтр по:

51–75 из 76 отзывов о курсе Биоинформационные методы II

автор: Emad R

27 янв. 2022 г.

This is very good.

автор: Shawn B C

19 окт. 2021 г.

Very informational

автор: PAULA A

8 июля 2022 г.

Excelente curso!

автор: Vasantha S V

15 дек. 2020 г.

excellent course

автор: shikha K

17 янв. 2019 г.

very good course

автор: Juan R T

2 окт. 2015 г.

Excellent course

автор: Sharem M

23 февр. 2016 г.

Awesome Course!

автор: Deepthi g

29 авг. 2021 г.

very useful!!!

автор: Marina R V

8 окт. 2020 г.

Muy formativo

автор: yaohuan23

1 февр. 2016 г.

excellent job

автор: Dina A M A

27 июня 2019 г.

very great

автор: jose l V

2 сент. 2017 г.

Excellent!

автор: Aasim M

15 сент. 2020 г.

Excellent

автор: José P C I

15 нояб. 2015 г.

The best.

автор: Nammi S K

16 июня 2020 г.

Good

автор: Randy M

19 нояб. 2020 г.

A++

автор: Shaurav B

14 нояб. 2020 г.

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.

автор: Kolchenko S

15 июля 2017 г.

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.

автор: Nazia T F

21 мая 2020 г.

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.

автор: Lucas A C

28 июля 2020 г.

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

автор: Raghavendra G

25 июля 2020 г.

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

автор: Catalin P

1 сент. 2018 г.

Quite good introductory course for Bioinformatics.

автор: Anne-Karina P

29 окт. 2015 г.

introduction to many useful online data resources

автор: Siwei

8 июня 2022 г.

Basically, the lecturer just read all slides with limited descriptions of the presented examples. This course presents some genomic analysis in bioinformatics, however, the methods of the analysis may not be up to date, or may be too general. No specific methods or studies were taught in this course. Good introduction course, but may be too basic for bioinformatition.

автор: Gábor E

14 авг. 2015 г.

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