Fall 2020

CSci 5481 - Computational Techniques for Genomics

Techniques to analyze biological data generated by genome sequencing, proteomics, cell-wide measurements of gene expression changes. Algorithms for single/multiple sequence alignments/assembly. Search algorithms for sequence databases, phylogenetic tree construction algorithms. Algorithms for gene/promoter and protein structure prediction. Data mining for micro array expression analysis. Reverse engineering of regulatory networks.

Prereq-4041 or instr consent


Available via UNITE Distributed Learning




Knights Lab

MCB 6-124

420 Washington Ave SE

Minneapolis, MN 55455

(612) 5-MICROB (612-564-2762)




Dr. Dan Knights is an Associate Professor in the Department of Computer Science and Engineering and the Biotechnology Institute at the University of Minnesota. The Knights lab models host-microbiome interactions in human disease, with labs in Minneapolis and Saint Paul. Knights is a PI with the Minnesota Supercomputing Institute.

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