About this Course

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Learner Career Outcomes

29%

started a new career after completing these courses

24%

got a tangible career benefit from this course
Shareable Certificate
Earn a Certificate upon completion
100% online
Start instantly and learn at your own schedule.
Course 1 of 7 in the
Flexible deadlines
Reset deadlines in accordance to your schedule.
Beginner Level
Approx. 16 hours to complete
English
Subtitles: English, Portuguese (Brazilian)

Skills you will gain

BioinformaticsBioinformatics AlgorithmsAlgorithmsPython Programming

Learner Career Outcomes

29%

started a new career after completing these courses

24%

got a tangible career benefit from this course
Shareable Certificate
Earn a Certificate upon completion
100% online
Start instantly and learn at your own schedule.
Course 1 of 7 in the
Flexible deadlines
Reset deadlines in accordance to your schedule.
Beginner Level
Approx. 16 hours to complete
English
Subtitles: English, Portuguese (Brazilian)

Offered by

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University of California San Diego

Syllabus - What you will learn from this course

Content RatingThumbs Up91%(2,231 ratings)Info
Week
1

Week 1

3 hours to complete

Week 1: Welcome!

3 hours to complete
3 videos (Total 21 min), 3 readings, 3 quizzes
3 videos
Where in the Genome Does DNA Replication Begin? (Part 1) (11:37)11m
Where in the Genome Does DNA Replication Begin? (Part 2) (06:24)6m
3 readings
Course Details10m
Week 1 FAQs (Optional)
What is Pseudocode? (Optional)1m
1 practice exercise
Week 1 Quiz15m
Week
2

Week 2

3 hours to complete

Week 2: Finding Replication Origins

3 hours to complete
2 videos (Total 13 min), 1 reading, 3 quizzes
2 videos
Where in the Genome Does DNA Replication Begin? (Part 4) (04:10)4m
1 reading
Week 2 FAQs (Optional)
1 practice exercise
Week 2 Quiz15m
Week
3

Week 3

4 hours to complete

Week 3: Hunting for Regulatory Motifs

4 hours to complete
3 videos (Total 23 min), 1 reading, 3 quizzes
3 videos
From Implanted Patterns to Regulatory Motifs (Part 2) (05:06)5m
From Implanted Patterns to Regulatory Motifs (Part 3) (07:22)7m
1 reading
Week 3 FAQs (Optional)
1 practice exercise
Week 3 Quiz15m
Week
4

Week 4

3 hours to complete

Week 4: How Rolling Dice Helps Us Find Regulatory Motifs

3 hours to complete
3 videos (Total 26 min), 1 reading, 3 quizzes
3 videos
How Rolling Dice Helps Us Find Regulatory Motifs (Part 2) (05:37)5m
How Rolling Dice Helps Us Find Regulatory Motifs (Part 3) (07:46)7m
1 reading
Week 4 FAQs (Optional)
1 practice exercise
Week 4 Quiz15m

Reviews

TOP REVIEWS FROM FINDING HIDDEN MESSAGES IN DNA (BIOINFORMATICS I)

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About the Bioinformatics Specialization

Join Us in a Top 50 MOOC of All Time! How do we sequence and compare genomes? How do we identify the genetic basis for disease? How do we construct an evolutionary Tree of Life for all species on Earth? When you complete this Specialization, you will learn how to answer many questions in modern biology that have become inseparable from the computational approaches used to solve them. You will also obtain a toolkit of existing software resources built on these computational approaches and that are used by thousands of biologists every day in one of the fastest growing fields in science. Although this Specialization centers on computational topics, you do not need to know how to program in order to complete it. If you are interested in programming, we feature an "Honors Track" (called "hacker track" in previous runs of the course). The Honors Track allows you to implement the bioinformatics algorithms that you will encounter along the way in dozens of automatically graded coding challenges. By completing the Honors Track, you will be a bioinformatics software professional! Learn more about the Bioinformatics Specialization (including why we are wearing these crazy outfits) by watching our introductory video. You can purchase the Specialization's print companion, Bioinformatics Algorithms: An Active Learning Approach, from the textbook website. Our first course, "Finding Hidden Messages in DNA", was named a top-50 MOOC of all time by Class Central!...
Bioinformatics

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