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 stars80.47%
- 4 stars14.85%
- 3 stars3.23%
- 2 stars0.47%
- 1 star0.95%
TOP REVIEWS FROM ALGORITHMS FOR DNA SEQUENCING
Very good course this is. Just a little advice, please make the quiz questions more clear and more specific because one shouldn't waste time to understand a question which is very easy to implement.
John Hopkin University provides an excellent course. It is effective for postdoctoral fellows and early career researchers, primarily those in the STEM fields !
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!
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