Finding Hidden Messages in DNA (Bioinformatics I)
- Offered byCoursera
Finding Hidden Messages in DNA (Bioinformatics I) at Coursera Overview
Duration | 16 hours |
Start from | Start Now |
Total fee | Free |
Mode of learning | Online |
Difficulty level | Intermediate |
Official Website | Explore Free Course  |
Credential | Certificate |
Finding Hidden Messages in DNA (Bioinformatics I) at Coursera Highlights
- Shareable Certificate Earn a Certificate upon completion
- 100% online Start instantly and learn at your own schedule.
- Course 1 of 7 in the Bioinformatics Specialization
- Flexible deadlines Reset deadlines in accordance to your schedule.
- Beginner Level
- Approx. 16 hours to complete
- English Subtitles: Arabic, French, Portuguese (European), Italian, Portuguese (Brazilian), Vietnamese, German, Russian, English, Spanish
Finding Hidden Messages in DNA (Bioinformatics I) at Coursera Course details
- 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.
Finding Hidden Messages in DNA (Bioinformatics I) at Coursera Curriculum
Week 1: Welcome!
(Check Out Our Wacky Course Intro Video)
Where in the Genome Does DNA Replication Begin? (Part 1) (11:37)
Where in the Genome Does DNA Replication Begin? (Part 2) (06:24)
Course Details
Week 1 FAQs (Optional)
What is Pseudocode? (Optional)
Week 1 Quiz
Week 2: Finding Replication Origins
Where in the Genome Does DNA Replication Begin? (Part 3) (09:05)
Where in the Genome Does DNA Replication Begin? (Part 4) (04:10)
Week 2 FAQs (Optional)
Week 2 Quiz
Week 3: Hunting for Regulatory Motifs
From Implanted Patterns to Regulatory Motifs (Part 1) (10:09)
From Implanted Patterns to Regulatory Motifs (Part 2) (05:06)
From Implanted Patterns to Regulatory Motifs (Part 3) (07:22)
Week 3 FAQs (Optional)
Week 3 Quiz
Week 4: How Rolling Dice Helps Us Find Regulatory Motifs
How Rolling Dice Helps Us Find Regulatory Motifs (Part 1) (12:43)
How Rolling Dice Helps Us Find Regulatory Motifs (Part 2) (05:37)
How Rolling Dice Helps Us Find Regulatory Motifs (Part 3) (07:46)
Week 4 FAQs (Optional)
Week 4 Quiz
Week 5: Bioinformatics Application Challenge
Finding Hidden Messages in DNA (Bioinformatics I) at Coursera Admission Process
Important Dates
Other courses offered by Coursera
Student Forum
Anything you would want to ask experts?
Data ScienceData Science for HealthcareBioinformaticsFinding Hidden Messages in DNA (Bioinformatics I)Useful Links
Know more about Coursera
Know more about Programs
- Engineering
- Instrumentation Technology
- Food Technology
- Aeronautical Engineering
- Artificial Intelligence and Machine Learning
- Metallurgical Engineering
- MTech in Computer Science Engineering
- VLSI Design
- Petroleum Engineering
- Aerospace Engineering
- BTech in Biotechnology Engineering
- Pharmaceutical engineering
- Silk Technology
- Microelectronics
- Agriculture & Farm Engineering