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Вернуться к Методы биоинформатики I

Отзывы учащихся о курсе Методы биоинформатики I от партнера Торонтский университет

4.7
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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:

276–294 из 294 отзывов о курсе Методы биоинформатики I

автор: PINKIE C

14 июня 2020 г.

More practical videos should be added.. For attending lab questions

автор: Yu Y

22 апр. 2017 г.

The teacher is boring but he conveys all information clearly.

автор: Azadeh M

27 окт. 2015 г.

Excellent material and explained well by the professor!

автор: Willan M

3 апр. 2016 г.

Muy bueno para aprender las bases de la bioinformatica

автор: Nicolas S

31 авг. 2015 г.

As a biochemist, it is a nice refresher for me !

автор: SANKALAN D

4 мая 2020 г.

Great Course for learning basic Bioinformatics.

автор: OKELLO E O

23 нояб. 2015 г.

enjoying it and its helping alot in my unit

автор: Sayalee S

23 июня 2020 г.

nice course, rich course material

автор: Saadullah J K

21 сент. 2020 г.

great teacher

автор: Sumaiya

5 июня 2020 г.

Good course

автор: MUHAMMAD N

25 июля 2020 г.

VERY GOOD

автор: MD H R T

10 янв. 2020 г.

awesome

автор: Andreia S

16 мая 2017 г.

great!

автор: Federico M

15 нояб. 2015 г.

Ho seguito il corso molto volentieri... molto carino, ma nonsufficiente per acquisire determinate conoscenze.

La Bioinformatica è una scienza molto ampia.

Tutto sommato bello ;)

автор: Kagning T E

9 сент. 2016 г.

Thanks to this course, i am now understanding the principle and methodology of phylogenetics

автор: Tryambak P S

24 июня 2020 г.

Introductory videos could have been shortened with a video description of Lab work.

автор: Lekhraj a

26 сент. 2020 г.

Please myID Verification

автор: SHAHNA T K

29 мая 2020 г.

It is really helpful

автор: Zareen N

2 мая 2020 г.

not right for me