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.
von
Über diesen Kurs
Kompetenzen, die Sie erwerben
- Bioinformatics Algorithms
- Algorithms
- Python Programming
- Algorithms On Strings
von

Johns Hopkins University
The mission of The Johns Hopkins University is to educate its students and cultivate their capacity for life-long learning, to foster independent and original research, and to bring the benefits of discovery to the world.
Lehrplan - Was Sie in diesem Kurs lernen werden
DNA sequencing, strings and matching
This module we begin our exploration of algorithms for analyzing DNA sequencing data. We'll discuss DNA sequencing technology, its past and present, and how it works.
Preprocessing, indexing and approximate matching
In this module, we learn useful and flexible new algorithms for solving the exact and approximate matching problems. We'll start by learning Boyer-Moore, a fast and very widely used algorithm for exact matching
Edit distance, assembly, overlaps
This week we finish our discussion of read alignment by learning about algorithms that solve both the edit distance problem and related biosequence analysis problems, like global and local alignment.
Algorithms for assembly
In the last module we began our discussion of the assembly problem and we saw a couple basic principles behind it. In this module, we'll learn a few ways to solve the alignment problem.
Bewertungen
- 5 stars80,72Â %
- 4 stars14,89Â %
- 3 stars3Â %
- 2 stars0,50Â %
- 1 star0,87Â %
Top-Bewertungen von ALGORITHMS FOR DNA SEQUENCING
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 course is a great starting point in alignment algorithms. The topics are well explained, but lack practical depth. I strongly recommend this course to any bioinformatician in development!
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.
I loved this course a lot. It's well organized. The lectures are clear. And the practicals are highly useful. Also, the assignments are helpful.
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