Chevron Left
Вернуться к Методы биоинформатики I

Отзывы учащихся о курсе Методы биоинформатики I от партнера Торонтский университет

Оценки: 1,459
Рецензии: 338

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:

226–250 из 331 отзывов о курсе Методы биоинформатики I

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

автор: Mohammad K

16 мая 2018 г.

very informative Course

автор: 陈禹衡

19 февр. 2019 г.


автор: José B D

24 мар. 2019 г.

Thank you very much!!

автор: Rommel E G S

29 авг. 2020 г.

Simple and complete!

автор: 周冰莹

25 окт. 2018 г.


автор: Olena P

24 дек. 2015 г.

Really great course.

автор: NAAMALA J

24 авг. 2019 г.

It was very helpful

автор: Ganga S D

24 нояб. 2020 г.

Really informative

автор: Gerald M

17 июня 2018 г.

Great Course Ever!

автор: Jerónimo C

8 июня 2017 г.

Wonderfull course!

автор: Drashtiben N B

31 мая 2017 г.

Quite informative!

автор: Putita C

25 окт. 2020 г.

Very good course!

автор: Yamila C M

24 окт. 2020 г.

VERY nice course!