Název:	A visualization technique for DNA walk plot using k-convex hull
Autoři:	Kim, Min-Ah Lee, Eun-Jeong Cho, Hwan-Gue Park, Kie-Jung
Citace zdrojového dokumentu:	Journal of WSCG. 1997, vol. 5, no. 1-3, p. 212-221.
Datum vydání:	1997
Nakladatel:	Václav Skala - UNION Agency
Typ dokumentu:	článek article
URI:	http://wscg.zcu.cz/wscg1997/wscg97.htm http://hdl.handle.net/11025/15898
ISSN:	1213-6972 (print) 1213-6980 (CD-ROM) 1213-6964 (online)
Klíčová slova:	vizualizace;DNA homologie;k-convex sloupcový algoritmus
Klíčová slova v dalším jazyce:	visualization;DNA homology;k-convex hull algorithm
Abstrakt v dalším jazyce:	In this paper we propose a new visualization technique to characterize qualitative information of a large DNA sequence. While a long DNA sequence has huge information, it is not easy to obtain genetic information from the DNA sequence visually. We transform DNA sequences into polygons to compute their homology in image domain rather than text domain. Our program visualizes DNA sequences with colored walk plots and simplify them into k-convex polygons. A walk plot represents a DNA sequence as a curve in a plane. A k-convex polygon simplifies a walk plot by removing some parts of insignificant information of a walk plot. This technique gives a biologist an insight to detect and classify a group of homologous DNA sequences. Experiments with real genomic data proves our approach shows good visual forms for long DNA sequences for homology analysis.
Práva:	© Václav Skala - UNION Agency
Vyskytuje se v kolekcích:	Volume 5, number 1-3 (1997)

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