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https://doi.org/10.1...arrow_drop_down
https://doi.org/10.1007/114937...
Part of book or chapter of book . 2005 . Peer-reviewed
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DBLP
Conference object . 2017
Data sources: DBLP
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Partial Words for DNA Coding

Authors: Peter Leupold;

Partial Words for DNA Coding

Abstract

A very basic problem in all DNA computations is finding a good encoding. Apart from the fact that they must provide a solution, the strands involved should not exhibit any undesired behaviour, especially they should not form secondary structures. Various combinatorial properties like repetition-freeness and involution-freeness have been proposed to exclude such misbehaviour. Another option, which has been considered, is requiring a big Hamming distance between the codewords. We propose to consider partial words for the solution of the coding problem. They, in some sense, already include the Hamming distance in the definition of compatibility and are investigated for many combinatorial properties. Thus, they can be used to guarantee a desired distance and simultaneously other properties. As the investigations on partial words are attracting more and more attention, they might be able to provide an ever-growing toolbox for finding good DNA encodings.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
18
Average
Top 10%
Top 10%
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