DocumentCode
274808
Title
Nucleotide sequence analysis using correlation images
Author
Ward, Matthew O. ; Adams, David S.
Author_Institution
Worcester Polytech. Inst., MA, USA
fYear
1990
fDate
22-25 May 1990
Firstpage
49
Lastpage
56
Abstract
An application area for computer visualization, namely, nucleotide sequence analysis, and a visualization technique, termed a correlation image (CI), are presented. A CI is produced by comparing two sequences in all possible alignments, with each image row corresponding to a distinct alignment. Information of interest to molecular biologists (e.g., inverted and direct repeats, insertions, deletions, homology divergence) are clearly manifested as highly distinct geometric patterns in the image. A typical CI may represent several megabytes of information, yet the display can easily be created and scanned in seconds. The derivation and interpretation of CIs are shown. They are compared with other nucleotide sequence analysis techniques. The power of CIs in uncovering homologies is illustrated
Keywords
DNA; biology computing; correlation methods; molecular biophysics; computer visualization; correlation image; distinct alignment; distinct geometric patterns; homologies; molecular biology; nucleotide sequence analysis; visualization technique; Biological information theory; Biology computing; DNA; Databases; Genetics; Humans; Image analysis; Image sequence analysis; Performance analysis; Sequences;
fLanguage
English
Publisher
ieee
Conference_Titel
Visualization in Biomedical Computing, 1990., Proceedings of the First Conference on
Conference_Location
Atlanta, GA
Print_ISBN
0-8186-2039-0
Type
conf
DOI
10.1109/VBC.1990.109301
Filename
109301
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