If you look at two genes that serve the same purpose in two different species, how can you rigorously compare these genes in order to see how they have evolved away from each other?
In the first part of the Dynamic Programming - Applications In Machine Learning and Genomics Certificate, part of the Algorithms and Data Structures MicroMasters Program from EdX in partnership with University of California, San Diego - UC San DiegoX, we will see how the dynamic programming paradigm can be used to solve a variety of different questions related to pairwise and multiple string comparison in order to discover evolutionary histories.
In the second part of the course, we will see how a powerful machine learning approach, using a Hidden Markov Model, can dig deeper and find relationships between less obviously related sequences, such as areas of the rapidly mutating HIV genome.
This programme may require students to demonstrate proficiency in English.
Basic knowledge of:
Check the programme website for information about funding options.
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