We will learn computational methods -- algorithms and data structures -- for analyzing DNA sequencing data. We will learn a little about DNA, genomics, and how DNA sequencing is used. We will use Python to implement key algorithms and data structures and to analyze real genomes and DNA sequencing datasets.
Offered By
About this Course
Could your company benefit from training employees on in-demand skills?
Try Coursera for BusinessSkills you will gain
- Bioinformatics Algorithms
- Algorithms
- Python Programming
- Algorithms On Strings
Could your company benefit from training employees on in-demand skills?
Try Coursera for BusinessOffered by
Syllabus - What you will learn from this course
DNA sequencing, strings and matching
Preprocessing, indexing and approximate matching
Edit distance, assembly, overlaps
Algorithms for assembly
Reviews
- 5 stars80.55%
- 4 stars14.85%
- 3 stars3.14%
- 2 stars0.48%
- 1 star0.96%
TOP REVIEWS FROM ALGORITHMS FOR DNA SEQUENCING
I had a lot of fun doing the little programming assignments in this course. I did not know I like algorithms this much. The pace is good and it is well taught.
This was really fun. Really enjoyed the a-ha of the algorithms and the fun of solving the alignment and assembly problems. Feel mildly powerful after assembling a virus genome.
John Hopkin University provides an excellent course. It is effective for postdoctoral fellows and early career researchers, primarily those in the STEM fields !
very engaging and well-presented course material.
intermediate difficulty while conveying the basics of how even recent real-world genome alignment and assembly tools work. great course design!
Frequently Asked Questions
When will I have access to the lectures and assignments?
What will I get if I subscribe to this Specialization?
Is financial aid available?
More questions? Visit the Learner Help Center.