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Вернуться к Методы биоинформатики I

Отзывы учащихся о курсе Методы биоинформатики I от партнера Торонтский университет

Оценки: 1,415
Рецензии: 328

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 (this one), deals with databases, Blast, multiple sequence alignments, phylogenetics, selection analysis and metagenomics. The second part, Bioinformatic Methods II, covers 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. Both provide an overview of the many different bioinformatic tools that are out there. 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. Bioinformatic Methods I is regularly updated, and was completely updated for January 2021....

Лучшие рецензии

11 июля 2020 г.

This course is very well organized, easy to understand, and explained everything steps by step which will help to grasp the concept easily. If you are a beginner like me, you should take this course.

26 апр. 2017 г.

Great course. All lectures provide a biological context for the tools you learn in the labs. The labs themselves provide a great introduction to the many tools available for bioinformatic analysis.

Фильтр по:

201–225 из 319 отзывов о курсе Методы биоинформатики I

автор: Pedro C R

31 янв. 2018 г.

Very well explained, intuitive and usefull!

автор: Brenda G D S B

14 февр. 2021 г.

Excelente curso, buenisimas explicaciones

автор: Shuvam S

19 июля 2020 г.

It helped me a lot.

Thanks a lot, Dr.Nick!

автор: Noor M

28 янв. 2018 г.

excellent course will recommend it to all

автор: Chui-Boon J

5 нояб. 2019 г.

It is a good basic course for beginner.

автор: Prakash V C

24 нояб. 2015 г.

This is an absolutely fantastic course!

автор: Kodithuwakku A D T L W

17 июня 2020 г.

one of the best course. I enjoyed lot.

автор: fatima

6 окт. 2018 г.

it was very useful course . thank you

автор: BALAGA H

16 мая 2020 г.

great subject,professors are great

автор: Laureana F

8 февр. 2018 г.

Good course. I learn a lot! thanks

автор: Ahmed A E M A

27 мая 2020 г.

Great course and very informative

автор: Yarenci A G

27 июля 2018 г.

Excelente curso, muy recomendable

автор: Jaime E B D C

13 мая 2017 г.

Excelente curso, muy recomendado.

автор: Maaly a

14 апр. 2017 г.

Simplified and very useful course

автор: Aram S

25 нояб. 2016 г.

Excellent and informative course!

автор: Sara A L

17 мар. 2017 г.

Es un curso muy útil y completo

автор: Lukas B

24 янв. 2016 г.

Very good course for beginners!

автор: Nilesh G

8 июня 2020 г.

Excellent course for beginners

автор: Christopher T O

3 нояб. 2015 г.

Amazing, Excellent and Awesome

автор: Pirana I I

9 янв. 2021 г.

thanks your course is so good

автор: José L M Q

21 сент. 2020 г.

Very useful and interesting!

автор: Farbod E L

3 сент. 2015 г.

It was really useful for me.

автор: Daniel B

9 февр. 2020 г.

Well. I liked it very much.

автор: saroj p

23 мар. 2016 г.

good but lengthy videos..

автор: Teresa B

15 апр. 2020 г.

Excelent in all aspects