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

1,484 Bewertungen
341 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 2021....


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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201 - 225 von 334 Bewertungen für Bioinformatic Methods I

von Solomon o

24. Aug. 2021

Standard training and flexible learning schedule.

von Hewan D

21. Apr. 2020

Thank you so much for your well-organized course.

von Md. S H

13. Dez. 2018

Just wow! The speciality is the discussion forums


5. Jan. 2021

I love it. Very useful on my thesis and college.

von Filipa P

1. März 2020

Amazing well done course! Really recommend! :-)

von Chun-Jou H

30. Mai 2016

Very organized. The labs are extremely helpful!

von sandeep K

30. Juni 2018

Best course to learn basics of bioinformatics.

von Elena S

30. Jan. 2016

It's a very useful course, very well explained

von Raghavendra G

22. Juni 2021

L​ab instructions and lectures were very good

von Angana B

21. Juni 2020

Learnt a lot from this session. Very useful!

von Jehanne C

12. Apr. 2020

Très bonne introduction à la bioinformatique

von Aparna

8. Jan. 2018

awesome course... learned a lot... thank you

von Jose A R D

16. Juli 2020

Great balance of theory and practical work.

von Pedro C R

31. Jan. 2018

Very well explained, intuitive and usefull!

von Brenda G D S B

14. Feb. 2021

Excelente curso, buenisimas explicaciones

von Shuvam S

19. Juli 2020

It helped me a lot.

Thanks a lot, Dr.Nick!

von Noor M

28. Jan. 2018

excellent course will recommend it to all

von Axel V

20. Juli 2021

curso excelente muy didactico y flexible

von Chui-Boon J

5. Nov. 2019

It is a good basic course for beginner.

von Prakash V C

24. Nov. 2015

This is an absolutely fantastic course!

von Kodithuwakku A D T L W

17. Juni 2020

one of the best course. I enjoyed lot.

von fatima

6. Okt. 2018

it was very useful course . thank you

von Reghan M

25. Juli 2021

Its a very good course, I love it.


16. Mai 2020

great subject,professors are great

von Laureana F

8. Feb. 2018

Good course. I learn a lot! thanks