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, and comparing genetic sequences. It applies concepts from algorithm design to genomics, like Eulerian paths, de Bruijn graphs, and longest common subsequences. It includes coding challenges, as well as sections on additional insights and thought-provoking questions.
By the end of this course, you’ll have a basic knowledge of genomics. You’ll be able to apply a diverse set of algorithms to biological data to get insights and also be introduced to various open problems in this field.
Bioinformatics is an interdisciplinary field spanning diverse domains like biology, statistics, and computer science. It focuses...Show More
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
Familiarity with genomics
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TAKEAWAY SKILLS
Content
2.
Where in the Genome Does DNA Replication Begin?
20 Lessons
Grasp the complexities of DNA replication origins, computational challenges, and algorithmic solutions.
A Journey of a Thousand MilesThe Finding Origin of Replication ProblemDnaA BoxesThe Hidden Message ProblemCounting WordsCoding Challenge: Implement Pattern CountThe Frequent Words ProblemSome Hidden Messages are More Surprising than OthersCoding Challenge: Implement Pattern MatchingAn Explosion of Hidden MessagesThe Simplest Way to Replicate DNAAsymmetry of ReplicationPeculiar Statistics of the Forward and Reverse Half-StrandsDeaminationThe Skew DiagramCoding Challenge: Implement Minimum SkewSome Hidden Messages are More Elusive than OthersA Final Attempt at Finding DnaA Boxes in E. coliEpilogue: Complications in ori PredictionsQuiz
3.
DNA Replication: Open Problems, Charging Stations, and Detours
17 Lessons
Explore unresolved problems in DNA replication and advanced algorithmic techniques in bioinformatics.
4.
How Do We Assemble Genomes?
21 Lessons
Grasp the fundamentals of genome assembly, from short DNA reads to de Bruijn graphs.
5.
Assemble Genomes: Charging Stations, and Detours
12 Lessons
Take a closer look at genome assembly, Eulerian cycles, paired De Bruijn graphs, and DNA sequencing history.
6.
How Do We Compare Biological Sequences?
27 Lessons
See how it works to compare biological sequences using various alignment techniques.
7.
Biological Sequences: Detours
6 Lessons
Piece together the parts of biological sequences and computational techniques in bioinformatics.
Certificate of Completion
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