Abstract | ||
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Multiwindow Gabor representations highlight fingerprints suitable for indexing of macromolecules, based on their local periodic structures. This paper presents a technique for analysis, and comparison of DNA and protein sequences. We use local periodicities to compare sequences and develop techniques that can compare the similarity between sequences in the combined space. We further show that using correlation, and absolute error minimization between the query sequence and sequences in the database, one can search for sequences very efficiently. Thus, from the viewpoint of indexing (and otherwise), macromolecules are much simpler to deal with than images, in that a much more limited, and well-defined dictionary is sufficient for labeling the molecules. |
Year | DOI | Venue |
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2008 | 10.1016/j.sigpro.2007.10.011 | Signal Processing |
Keywords | Field | DocType |
local periodic structure,local periodicity,minimisation of differences,multiwindow gabor representation,macromolecule sequence analysis,correlation,macromolecular sequence analysis,query sequence,absolute error minimization,protein sequence,well-defined dictionary,combined space,sequence analysis | Signal processing,Similitude,Algorithm,Search engine indexing,Minification,Periodic graph (geometry),Mathematics,Approximation error,Sequence analysis | Journal |
Volume | Issue | ISSN |
88 | 4 | Signal Processing |
Citations | PageRank | References |
6 | 0.69 | 15 |
Authors | ||
2 |
Name | Order | Citations | PageRank |
---|---|---|---|
Nagesh K. Subbanna | 1 | 320 | 14.00 |
Yehoshua Y. Zeevi | 2 | 610 | 248.69 |