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Вернуться к Biology Meets Programming: Bioinformatics for Beginners

Biology Meets Programming: Bioinformatics for Beginners, Калифорнийский университет в Сан-Диего

4.5
Оценки: 538
Рецензии: 155

Об этом курсе

Are you interested in learning how to program (in Python) within a scientific setting? This course will cover algorithms for solving various biological problems along with a handful of programming challenges helping you implement these algorithms in Python. It offers a gently-paced introduction to our Bioinformatics Specialization (https://www.coursera.org/specializations/bioinformatics), preparing learners to take the first course in the Specialization, "Finding Hidden Messages in DNA" (https://www.coursera.org/learn/dna-analysis). Each of the four weeks in the course will consist of two required components. First, an interactive textbook provides Python programming challenges that arise from real biological problems. If you haven't programmed in Python before, not to worry! We provide "Just-in-Time" exercises from the Codecademy Python track (https://www.codecademy.com/learn/python). And each page in our interactive textbook has its own discussion forum, where you can interact with other learners. Second, each week will culminate in a summary quiz. Lecture videos are also provided that accompany the material, but these videos are optional....

Лучшие рецензии

автор: DL

Apr 18, 2016

I give this course 5 star because I did Bioinformatics I and I totally enjoy it.\n\nThis is where programming can be fun, and practical, and you'll learn some basic biology too.\n\nWhat's not to love?

автор: HL

Aug 16, 2017

I learned a lot from this difficult and time-consuming course! It covers biological concepts using Python. It made learning Python more interesting for me, since I have always loved biology.

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Рецензии: 150

автор: María Ajenjo Bauzá

Feb 17, 2019

I have learnt a lot, but sometimes I missed some help or feedback.

автор: Daniel Hagan

Feb 12, 2019

A very interesting course, but perhaps not necessarily for "begginer" programmers.

автор: Achala Sri Kommineni

Feb 08, 2019

it was enjoyable

автор: Sophie Adshead

Feb 07, 2019

Not at all for beginners. A coding background is necessary to make any sense of the material.

автор: Shivam Sharma

Feb 01, 2019

Great introduction to the field of bioinformatics.

автор: Carlos Martinez

Jan 24, 2019

excellent introduction, which was at an appropriate level for my experience (lots of programming in languages other than python, and just a cursory understanding of genomics).

автор: Teng Wen

Jan 19, 2019

课程内容深入浅出,语言趣味横生,我非常喜欢这门课程,非常喜欢Pavel Pevzener. 掌握适当python基础的童鞋学习起来会比较顺利,否则会感到吃力。

автор: Kerry

Jan 15, 2019

This is a poor course for Python beginners. There are two things going on here -- CodeAcademy, which has a nicely thought out, clear explanation of basic Python programming. Then there is STEPTIK--the big problem is that the very basic programming instruction in CodeAcademy does provide adequate background to successfully solve the problems in STEPTIK. The STEPTIK section should build on/fill in the gap between what we learned in Python and we need to still learn to complete the problems. Many of the solutions provided in the solutions forum use coding that was not introduced to us in CodeAcademy.

This course may work for computer programmers who want to explore Bioinformatics. After trying twice to complete Week 1, I finally gave up. What's the point if I have to copy solutions from the Solutions forum (that I don't understand) to proceed? I'm glad I did not purchase the course before I tried out Week 1.

автор: Aquil

Jan 14, 2019

I really enjoyed the class, however, I have two complaints/recommendations.

1. Much of the content seems geared towards biologist/life science professionals who have a strong grasp on the concepts being presented. I am a software developer with little background in the life sciences, much of what was discussed as it relates to biological processes was new to me. It would have been nice to have had a companion document for the biology side of the course, similar to the Python programming companion.

2. Successfully completing work in Week 4 depends on successfully completing the "GreedyMotifSearch", I didn't search the forum or FAQ too much, but providing more visible support for people who get the correct answer, but exceed the time limit might be useful. I was able to easily identify my problem using a line profiler, but those new to Python may not know "Best Practices" for optimizing code.

Anyway, that's it. Thanks.

автор: Matchy Lee

Jan 13, 2019

The course provides some meaningful questions in biological context (rather than abstact excercises in some textbooks) for you to solve. It is really fulfilling when you put what you learnt into use and made improvements on your code to solve the questions better. The exercises are actually challenging for programming beginners. But if you persist, upon completion of this course you will find youself equipped with some solid knowledge on bioinformatics, which will definitely benefit your future career.