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.
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About this Course
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Try Coursera for BusinessSkills you will gain
- Bioinformatics Algorithms
- Algorithms
- Python Programming
- Algorithms On Strings
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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 stars80.48%
- 4 stars14.81%
- 3 stars3.25%
- 2 stars0.48%
- 1 star0.96%
TOP REVIEWS FROM ALGORITHMS FOR DNA SEQUENCING
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.
This course provided me a very quick overview of all the core concepts pertaining to DNA sequencing. It is very well organized, crystal clear demonstration of concepts and I really enjoyed the course.
This is by far the hardest and most organized. My coding skills have improved greatly. The codes are explained very well. I definitely recommend it!
Challenging course and took me longer than four weeks to finish but they explained the concepts well and the discussion forum posts from other students were very helpful.
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