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.
Informações sobre o curso
Habilidades que você terá
- 5 stars80,53%
- 4 stars14,87%
- 3 stars3,14%
- 2 stars0,48%
- 1 star0,96%
Principais avaliações do ALGORITMOS APLICADO AO SEQUENCIAMENTO DE DNA
John Hopkin University provides an excellent course. It is effective for postdoctoral fellows and early career researchers, primarily those in the STEM fields !
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.
Very well prepared, from basics up to all commonly used techniques in bioinformatics. Prerequisites in Python is a plus, but not even necessary.
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