Fractals everywhere
Supercomputers and biological sequence comparison algorithms
Computers and Biomedical Research
A review of algorithms for molecular sequence comparison
Computers and Biomedical Research
Chaos and Fractals
Flexible information visualization of multivariate data from biological sequence similarity searches
Proceedings of the 7th conference on Visualization '96
Handbook of data mining and knowledge discovery
Visualization and comparison of DNA sequences by use of three-dimensional trajectories
APBC '03 Proceedings of the First Asia-Pacific bioinformatics conference on Bioinformatics 2003 - Volume 19
Visualization of Biological Sequence Similarity Search Results
VIS '95 Proceedings of the 6th conference on Visualization '95
Using Visualization to Detect Plagiarism in Computer Science Classes
INFOVIS '00 Proceedings of the IEEE Symposium on Information Vizualization 2000
Discovering patterns in categorical time series using IFS
Computational Statistics & Data Analysis
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Human beings find it difficult to analyze local and global oligonucleotide patterns in the linear primary sequences of a genome. In this paper, we present a family of iterated function systems (IFS) that can be used to generate a set of visual models of a DNA sequence. A new visualization function, the W-curve, that is derived from this IFS family is introduced. Using W-curves, a user can readily compare subsequences within a long genomic sequence --- or between genomic sequences --- and can visually evaluate the effect of local variations (mutations) upon the global genomic information content.