This course includes
Course Overview
Bioinformatics is an interdisciplinary field spanning diverse domains like biology, statistics, and computer science. It focuses on developing algorithms that extract useful information from biological data. These insights help address critical issues like waste cleanup, vaccine development, and climate change. This course focuses on algorithmic principles driving advances in bioinformatics. It starts by introducing the learner to important concepts in genomics, such as DNA replication, genome assembly, an...
TAKEAWAY SKILLS
Python Programming
Scientific Algorithms
What You'll Learn
Familiarity with genomics
Awareness of open problems in the field
Hands-on experience coding bioinformatics algorithms
Ability to apply a diverse set of graph, path-finding, and subsequence-matching algorithms to biological data
What You'll Learn
Familiarity with genomics
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Course Content
Before Getting Started
Where in the Genome Does DNA Replication Begin?
DNA Replication: Open Problems, Charging Stations, and Detours
How Do We Assemble Genomes?
Assemble Genomes: Charging Stations, and Detours
How Do We Compare Biological Sequences?
27 Lessons
Biological Sequences: Detours
6 Lessons
Conclusion
1 Lesson
Course Author
Trusted by 1.4 million developers working at companies
Anthony Walker
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Emma Bostian 🐞
@EmmaBostian
Evan Dunbar
ML Engineer
Carlos Matias La Borde
Software Developer
Souvik Kundu
Front-end Developer
Vinay Krishnaiah
Software Developer
Eric Downs
Musician/Entrepeneur
Kenan Eyvazov
DevOps Engineer
Souvik Kundu
Front-end Developer
Eric Downs
Musician/Entrepeneur
Anthony Walker
@_webarchitect_
Emma Bostian 🐞
@EmmaBostian
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