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Bewertung und Feedback des Lernenden für Bioinformatic Methods I von University of Toronto

1,559 Bewertungen
355 Bewertungen

Über den Kurs

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 2022....



11. Juli 2020

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.


2. Nov. 2021

Bioinformatics 1 was very interesting and enlightening for me. I learnt practical skills which I can now apply in to ace an impactful career. Thank you so much Coursera for this amazing opportunity!

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326 - 348 von 348 Bewertungen für Bioinformatic Methods I

von Carlos M G V

1. März 2017

Nice course, useful to know the most common tools used to do Bioinformatics

von Javier M C

5. Sep. 2016

A very interesting course and a great starting point towards bioinformatics


8. Apr. 2017

It is a very nice course for beginners. I learnt a lot from it. Thank you!


14. Juni 2020

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

von df20211534 L R V

19. Apr. 2022

Informative course was very helpful for understanding of concepts.

von Yu Y

22. Apr. 2017

The teacher is boring but he conveys all information clearly.

von Azadeh M

27. Okt. 2015

Excellent material and explained well by the professor!

von Willan M

3. Apr. 2016

Muy bueno para aprender las bases de la bioinformatica

von Nicolas S

31. Aug. 2015

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


4. Mai 2020

Great Course for learning basic Bioinformatics.


23. Nov. 2015

enjoying it and its helping alot in my unit

von Sayalee S

23. Juni 2020

nice course, rich course material

von Saadullah J K

21. Sep. 2020

great teacher

von Sumaiya

5. Juni 2020

Good course

von Nadeem N

25. Juli 2020


von MD H R T

10. Jan. 2020


von Andreia S

16. Mai 2017


von Federico M

15. Nov. 2015

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

La Bioinformatica è una scienza molto ampia.

Tutto sommato bello ;)

von Kagning T E

9. Sep. 2016

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

von Tryambak P S

24. Juni 2020

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

von Lekhraj a

26. Sep. 2020

Please myID Verification


29. Mai 2020

It is really helpful

von Zareen N

2. Mai 2020

not right for me