License: Creative Commons Attribution 4.0 International license (CC BY 4.0)
When quoting this document, please refer to the following
DOI: 10.4230/DagSemProc.06201.10
URN: urn:nbn:de:0030-drops-7856
URL: http://dagstuhl.sunsite.rwth-aachen.de/volltexte/2006/785/
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Erdös, Péter L. ;
Ligeti, Péter ;
Sziklai, Péter ;
Torney, David C.
Subwords in reverse-complement order
Abstract
We examine finite words over an alphabet $Gamma={a,bar{a};b,bar{b}}$ of pairs of letters, where each word $w_1w_2...w_t$ is identical with its {it reverse complement} $bar{w_t}...bar{w_2}bar{w_1}$ (where $bar{bbar{a}}=a,bar{bar{b}}=b$). We seek the smallest $k$ such that every word of length $n,$ composed from $Gamma$, is uniquely determined by the set of its subwords of length up to $k$. Our almost sharp result ($ksim 2n/3$) is an analogue of a classical result for ``normal'' words.
This classical problem originally was posed by M.P. Sch"utzenberger and I. Simon, and gained a considerable interest for several researchers, foremost by Vladimir Levenshtein.
Our problem has its roots in bioinformatics.
BibTeX - Entry
@InProceedings{erdos_et_al:DagSemProc.06201.10,
author = {Erd\"{o}s, P\'{e}ter L. and Ligeti, P\'{e}ter and Sziklai, P\'{e}ter and Torney, David C.},
title = {{Subwords in reverse-complement order}},
booktitle = {Combinatorial and Algorithmic Foundations of Pattern and Association Discovery},
pages = {1--8},
series = {Dagstuhl Seminar Proceedings (DagSemProc)},
ISSN = {1862-4405},
year = {2006},
volume = {6201},
editor = {Rudolf Ahlswede and Alberto Apostolico and Vladimir I. Levenshtein},
publisher = {Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
address = {Dagstuhl, Germany},
URL = {https://drops.dagstuhl.de/opus/volltexte/2006/785},
URN = {urn:nbn:de:0030-drops-7856},
doi = {10.4230/DagSemProc.06201.10},
annote = {Keywords: Reverse complement order, Reconstruction of words, Microarray experiments}
}
Keywords: |
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Reverse complement order, Reconstruction of words, Microarray experiments |
Collection: |
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06201 - Combinatorial and Algorithmic Foundations of Pattern and Association Discovery |
Issue Date: |
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2006 |
Date of publication: |
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07.11.2006 |