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© Oxford University Press

DNAView: A quality assessment tool for the visualization of large sequenced regions

Gautam B. Singh 1,6 and A. Krawetz 2,3,4,5,6

1Electrical and Computer Engineering, College of Engineering, Wayne State University Detroit, MI 48202
2Department of Molecular Biology and Genetics, Wayne State University School of Medicine 253 CSMC—275 E. Hancock, Detroit, MI 48201, USA
3Department of Obstetrics and Gyneoclogy, Wayne State University School of Medicine 253 CSMC—275 E. Hancock, Detroit, MI 48201, USA
4C.S.Mott Center for Human Growth and Development, Wayne State University School of Medicine 253 CSMC—275 E. Hancock, Detroit, MI 48201, USA
5Center for Molecular Medicine and Genetics, Wayne State University School of Medicine 253 CSMC—275 E. Hancock, Detroit, MI 48201, USA

6To whom correspondence should be addressed

This communication describes DNAView, a graphical tool for the visualization and printing of large nucleic acid sequences. DNAView uses color coding to compactly display genomic segments of up to 100kb on a single printed page. The specific color schemes integrated into DNAView can highlight ‘local aggregate’ properties of large segments of DNA. We have also incorporated a confidence expression for the assigned sequence. This is represented by base color intensity that is proportional to the number of times that base was sequenced. Areas of interest, such as exons, introns, repetitive elements and splice sites, can be emphasized using overlays. The colored image can be saved in a standard TIFF image file format that may be imported and annotated by other application software.

Received on December 17, 1994; accepted on March 23, 1995

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