Mining Motifs in DNA Regulatory Area
Name
Timo Petmanson
Abstract
In this work, we introduced and developed novel mathematical formalization, algorithms and data structures needed to describe data mining methods using multiple input promoters and several layers of data. We reformulated standard sequence mining techniques and studied different properties of our new formalization.
We benchmarked and analyzed the runtime speed of the algorithms. We also tested how our methods work on real biological data.
Graduation Thesis language
English
Graduation Thesis type
Bachelor - Computer Science
Supervisor(s)
Sven Laur
Defence year
2010