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.
About this Course
Skills you will gain
- Bioinformatics Algorithms
- Python Programming
- Algorithms On Strings
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
- 5 stars80.38%
- 4 stars14.95%
- 3 stars3.22%
- 2 stars0.47%
- 1 star0.95%
TOP REVIEWS FROM ALGORITHMS FOR DNA SEQUENCING
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.
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 !
This is the best course so far in this specialization. I enjoyed the way both instructors explained the concepts using simple analogies. It was a really productive month for me!
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