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Вернуться к Поиск скрытых сообщений в ДНК (Биоинформатика I)

Отзывы учащихся о курсе Поиск скрытых сообщений в ДНК (Биоинформатика I) от партнера Калифорнийский университет в Сан-Диего

Оценки: 924

О курсе

Named a top 50 MOOC of all time by Class Central! This course begins a series of classes illustrating the power of computing in modern biology. Please join us on the frontier of bioinformatics to look for hidden messages in DNA without ever needing to put on a lab coat. In the first half of the course, we investigate DNA replication, and ask the question, where in the genome does DNA replication begin? We will see that we can answer this question for many bacteria using only some straightforward algorithms to look for hidden messages in the genome. In the second half of the course, we examine a different biological question, when we ask which DNA patterns play the role of molecular clocks. The cells in your body manage to maintain a circadian rhythm, but how is this achieved on the level of DNA? Once again, we will see that by knowing which hidden messages to look for, we can start to understand the amazingly complex language of DNA. Perhaps surprisingly, we will apply randomized algorithms, which roll dice and flip coins in order to solve problems. Finally, you will get your hands dirty and apply existing software tools to find recurring biological motifs within genes that are responsible for helping Mycobacterium tuberculosis go "dormant" within a host for many years before causing an active infection....

Лучшие рецензии


29 июля 2018 г.

This course is very very good. Challenging at times. It does not hold your hand at all times and sometimes requires research to solve some of the problems, but I like the community and the approach.


10 сент. 2019 г.

The material of the course is simply exquisitely presented. The concepts are clear, easy to grasp. You won't be a bioinformatician after doing this course, but you'll make the first step.

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151–175 из 225 отзывов о курсе Поиск скрытых сообщений в ДНК (Биоинформатика I)

автор: Sanjay V

23 нояб. 2020 г.

I took a JHU course on Galaxy, which used high level tools and wanted to learn more about the algorithsms. This course helped me with that. Knowing Python definitely helped and made this course relatively easy. Most people with some coding experience will find this informative but easy. I dont know if this coursewould be useful to a person who does not have knowledge or access to some basic programming tools (The course makes the claim that no programming experience required)

автор: Duncan P

3 мая 2020 г.

This is a really good introduction to finding motifs - thank you!

The main thing I feel could do with some attention is the automated marking of some of the assignments, particularly the final one on Week 4, where only 7% of submissions are marked as correct because the probabilistic algorithm only gets the expected answer some of the time. There is also often inconsistency on expected whitespace (really, who care about insignificant whitespace).

автор: Francois O

30 окт. 2017 г.

Very interesting. I learned two important concepts about DNA during this class. C-G skew due to a more likely odd of mutation; and how to find motifs in seemingly random DNA strings. However some pseudocodes need some improvements. They sometime have part that only make sense after you read comments by other students, or variable names that could be better chosen (I wrote a comment at that place).

автор: Luke M Y

17 нояб. 2020 г.

Great course, but it absolutely requires experience with python so I was unable to complete it as I have only a biology background! Also, the quiz questions are terribly formatted and you will require multiple attempts to figure out how to put the correct answer in the format they require or even understand what they are asking, they should include practice quizzes with guided explanations.

автор: Rohit C R

15 янв. 2017 г.

It may be more helpful to students who are not taking the honors code if they had access to ready made programming codes to complete the stepik exercises as it is extremely taxing and not feasible to solve all problems by hand.

Brilliantly structured and very effective learning method!

I also felt that Gibbs sampling could have been explained further or more in detail.

Thank you!

автор: Fikrat T

11 нояб. 2019 г.

Excellent course. Excellent tutors. I am a fan of and this course. However, the only thing that I consider redundant in this course is peer to peer assignment; and I guess solution here is to reduce number of peers who must review the assignment. I think 3 peers are enough to grade the assignment.

But everything rest is top!

автор: Shane P

15 авг. 2020 г.

Great course! Really liked the instructors and the online tool to follow along with concepts and coding challenges. There were a few points with vague instructions that took some extra time to figure out. Would definitely recommend this course but it will be more difficult for people with little to no programming experience.

автор: Jad H

8 мар. 2021 г.

Even if quite hard, contrary to what is said at the beginning, this course challenged my biology knowledge whilst introducing me to the fascinating world of algorithms and coding. I'd recommend starting an introductory course on biology meets programming before starting this adventure.

автор: Lee Z Y

27 сент. 2020 г.

Content-wise it was great. I got quite disheartened by the peer graded assignment: the majority of the submissions I graded just copied the rubric. There needs to be a negative grade for cheaters - but I think it better that we don't have peer-graded assignments in the first place.

автор: Yousef A

12 янв. 2019 г.

I really liked the course, I had fun finishing assignments and learning the theory behind each concept. However, I take my time very seriously and this course has underrated the time you should devote as I end up having too much pressure due to other work I should be doing.

автор: Vishnu K

6 окт. 2020 г.

This course is awesome but I had done the same course named Biology meets Programming: Bioinformatics for Beginners which was uploaded ago by these guys but it was not a specialization for that course. Or I may not say it very surely.

автор: Tuan N

1 февр. 2021 г.

As a graduate student with background in molecular biology, I find the computational challenging enough, and there is some new insights in biology as well. However, some of the lectures of week 3 and week 4 are very confusing.

автор: CHAN V S F

9 мая 2021 г.

Good introductory course for Bioinformatics. I like the hands-on activities in Week 5. However, sometimes I do not understand the pseudo code and therefore need to read the comments shared by other learners.

автор: Michael O

29 июня 2016 г.

Very nice course and information, but backend could be more polished. Many tasks (expecially about randomized algorithms) could fail even if you do 100% right. And very little debug information provided.

автор: Pedro H S

20 июля 2022 г.

The course has a good material, however I consider is not explained correctly. Sometimes it is very hard to understand each topics and you need some knowleadge related with programming.

автор: Christiane A

6 мар. 2017 г.

Fascinating subject where informatics and biology come together . By taking these courses you get a deep understanding of how research results are obtained by multidisciplinary teams.

автор: Emilio F V

17 мар. 2022 г.

Hay muchas lagunas, faltan mejores explicaciones para aquellos que son nuevos programando, mejorar los códigos aportados o explicarlos para entender como funciona cada parte del código

автор: Dhivyaprakash N

26 сент. 2020 г.

It was very tough and worth attempting it because I have given many numbers of attempts in all the quizzes but at every attempt, I could rectify my mistakes.

автор: Estefania E

28 июня 2017 г.

A good course and introduction. Some of the computer graded homework assignments need better explanations for the desired result set, to avoid frustration.

автор: Немытько В А

8 февр. 2021 г.

Основной курс находится на Stepik, здесь же непродолжительные лекции которые полностью повторяются и раскрываются на Stepik что немного странно.

автор: Geoff R

24 мар. 2021 г.

After completing the entire course, I feel like the majority of it was explained well. The assignments are fair and the content is interesting.

автор: Haeuk

14 мар. 2021 г.

The content itself is interesting and challenging enough. However, the wordings need improvements. Some parts were difficult to understand.

автор: Igor K

18 авг. 2017 г.

Very interesting lectures and practical assignments. But in my opinion the capstone project is not too interesting for "computer" people.

автор: ALF

1 мая 2020 г.

The course was great. I would recommend it to anyone interested. There are a few things to fix, especially on the external toolkit.

автор: Shabnam S

14 мая 2020 г.

Some of the Stepik material needs to be updated and put in more clear and simpler language. Otherwise, great learning curve!