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Online Course

Biology Meets Programming: Bioinformatics for Beginners

University of California, San Diego via Coursera

Overview

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.

Syllabus

Week 1
-Where in the Genome Does Replication Begin? (Part 1)

Week 2
-Where in the Genome Does Replication Begin? (Part 2)

Week 3
-Which DNA Patterns Play the Role of Molecular Clocks? (Part 1)

Week 4
-Which DNA Patterns Play the Role of Molecular Clocks? (Part 2)

Taught by

Pavel Pevzner and Phillip E. C. Compeau

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Reviews

3.4 rating, based on 9 reviews

Start your review of Biology Meets Programming: Bioinformatics for Beginners

  • Ken Sellers completed this course, spending 20 hours a week on it and found the course difficulty to be hard.

    Of the half dozen or more MOOCs I've taken, this class is in the top two. MIT 7.00x, taught by Eric Lander, is the only one that is on the same level. This is the highest compliment that I can give; I loved 7.00x. The prerequisites I recommend are...
  • Anonymous

    Anonymous completed this course, spending 16 hours a week on it and found the course difficulty to be medium.

    I give this course the full amount of stars, and I really mean it. This course was amazing, among the 45+ MOOCs I have taken it was one of the most engaging and nicely delivered when it comes to the interactive text! What you gain from this course is...
  • Anonymous

    Anonymous is taking this course right now.

    This course is poorly structured and is definitely not for "complete beginners" as they advertise. It is also more than 8-12 hours a week because you have to do a complimentary Code academy course simultaneously. Even though they reference the code used in Code academy, the projects are a lot more advanced and would be impossible without a background in code. They do not explain anything fully or give hints to help with anything, so if your code is wrong there is very little you can do. Would not recommend to anyone with a biology background because it is still incredibly difficult.
  • Anonymous

    Anonymous is taking this course right now.

    The course was made for those who already have programming base. For those who do not have this prior knowledge, the course becomes much longer than 18 hours. I would not recommend
  • James Warren

    James Warren completed this course.

  • Onijingin Abayomi Tope completed this course.

  • Klaas Naaijkens

    Klaas Naaijkens completed this course.

  • Michael A. Alcorn completed this course.

  • Muratali completed this course.

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