Previous Next DNA Visual and Analytic Data Mining Validate and attempt to discover new methods for distinguishing coding DNA sequences Distinguishing Exon from Intron DNA sequences is one of the goals of the Human Genome Project. We have encoded and classified human sequences from the Fickett dataset analytically and visually. Several visualization and data mining techniques were used to validate and attempt to discover new methods for distinguishing coding DNA sequences, or exons, from non-coding DNA sequences, or introns. Most points lie close to the center, which leads us to conclude that they are influenced by equal forces.
Introns lie closer to the center than exons.
The partially extend lines correspond to coordinate values along each axis. Additionally, there is a higher incidence of introns in three symmetrical triangular sections in the center of the visualization. This A-C base pair distinction is still being investigated. All rights reserved.