Introduction to Genomic Data Science
In the first half of this course, we'll investigate DNA replication, and ask the question, where in the genome does DNA replication begin? You will learn how to answer this question for many bacteria using straightforward algorithms to look for hidden messages in the genome.
In the second half of the course, we'll examine a different biological question, and 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 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.
This course begins a series of classes illustrating the power of computing in modern biology.
What you'll learn
- Write Python programs to solve various tasks you may encounter
- Formulate a formal computational problem from an informal biological problem
- Develop algorithms for solving computational problems
- Evaluate the effectiveness of algorithms
- Apply existing software to actual biological datasets
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Rating | Not enough ratings |
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Length | 4 weeks |
Effort | Self-paced, Progress at your own speed |
Starts | On Demand (Start anytime) |
Cost | $49 |
From | The University of California San Diego, UC San DiegoX, UCSanDiegoX, The University of California, San Diego via edX |
Instructors | Phillip Compeau, Pavel Pevzner |
Download Videos | On all desktop and mobile devices |
Language | English |
Subjects | Programming Science |
Tags | Computer Science Biology & Life Sciences |
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DNA Lab technician 2 $93k
DNA Sequencer 1 $95k
DNA/RNA Researcher $109k
DNA Lab technician Lead $116k
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Rating | Not enough ratings |
---|---|
Length | 4 weeks |
Effort | Self-paced, Progress at your own speed |
Starts | On Demand (Start anytime) |
Cost | $49 |
From | The University of California San Diego, UC San DiegoX, UCSanDiegoX, The University of California, San Diego via edX |
Instructors | Phillip Compeau, Pavel Pevzner |
Download Videos | On all desktop and mobile devices |
Language | English |
Subjects | Programming Science |
Tags | Computer Science Biology & Life Sciences |
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