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CSE 3810 Computational Genomics

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This CSE 3810 Computational Genomics course aims to gift a number of the foremost basic and helpful algorithms for sequence analysis, alongside the lowest biological background necessary for an engineering science student to understand their application to current genetic science analysis. Sequence alignments, hidden Andrei Markov models, multiple alignment algorithms and heuristics like Gibbs sampling, and also the probabilistic interpretation of alignments are going to be studied under this course. Applications of those tools to sequence analysis are going to be presented: comparison genomes of various species, sequence finding, sequence regulation, whole ordination sequencing and assembly. Whenever doable, examples are going to be drawn from the foremost current developments in genetic science analysis.

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