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Вернуться к Методы биоинформатики I

Отзывы учащихся о курсе Методы биоинформатики I от партнера Торонтский университет

4.7
звезд
Оценки: 1,296
Рецензии: 301

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 https://learn.saylor.org/course/bio101 might be helpful. No programming is required for this course. Bioinformatic Methods I is regularly updated, and was completely updated for January 2020....

Лучшие рецензии

SA
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.

ED
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 294 отзывов о курсе Методы биоинформатики I

автор: Devanti D

14 мая 2020 г.

nice experience

автор: Harini

23 июня 2020 г.

It's is useful

автор: luis a s m

6 мая 2017 г.

It's excellent

автор: Patrícia P

25 мая 2018 г.

Great course!

автор: Min M

29 июля 2020 г.

Best course!

автор: Tayyab M k

9 мая 2020 г.

very helpful

автор: Pedro M

26 сент. 2017 г.

Great course

автор: Juliana B d C

20 сент. 2020 г.

otimo curso

автор: Rabbi h

18 мая 2020 г.

good course

автор: Akanksha d

31 янв. 2017 г.

very useful

автор: José P C I

30 авг. 2015 г.

Excellent.

автор: DIPALI P V

12 июня 2020 г.

Excellent

автор: NEHA S

12 июня 2020 г.

Thank you

автор: chengkaizhu

28 июля 2017 г.

excellent

автор: Hosain A

30 сент. 2016 г.

thank you

автор: Reem A

6 окт. 2015 г.

I like it

автор: Pedro

23 сент. 2020 г.

MUY BIEN

автор: Jarel E M T

26 окт. 2016 г.

Awesome!

автор: Luis P R

12 янв. 2018 г.

Great!!

автор: PRAKASH R

27 нояб. 2020 г.

super

автор: Shayan s

7 мая 2019 г.

great

автор: MAHAMADOU A N

15 июля 2017 г.

Nice!

автор: Bollavaram P R

21 нояб. 2020 г.

good

автор: KADIM S S M

16 мая 2020 г.

good

автор: Khaled A M D B

13 янв. 2020 г.

THAN