On the synthesis of DNA error correcting codes

DNA error correcting codes over the edit metric consist of embeddable markers for sequencing projects that are tolerant of sequencing errors. When a genetic library has multiple sources for its sequences, use of embedded markers permit tracking of sequence origin. This study compares different metho...

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Published inBioSystems Vol. 110; no. 1; pp. 1 - 8
Main Authors Ashlock, Daniel, Houghten, Sheridan K., Brown, Joseph Alexander, Orth, John
Format Journal Article
LanguageEnglish
Published Ireland Elsevier Ireland Ltd 01.10.2012
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ISSN0303-2647
1872-8324
1872-8324
DOI10.1016/j.biosystems.2012.06.005

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Abstract DNA error correcting codes over the edit metric consist of embeddable markers for sequencing projects that are tolerant of sequencing errors. When a genetic library has multiple sources for its sequences, use of embedded markers permit tracking of sequence origin. This study compares different methods for synthesizing DNA error correcting codes. A new code-finding technique called the salmon algorithm is introduced and used to improve the size of best known codes in five difficult cases of the problem, including the most studied case: length six, distance three codes. An updated table of the best known code sizes with 36 improved values, resulting from three different algorithms, is presented. Mathematical background results for the problem from multiple sources are summarized. A discussion of practical details that arise in application, including biological design and decoding, is also given in this study.
AbstractList DNA error correcting codes over the edit metric consist of embeddable markers for sequencing projects that are tolerant of sequencing errors. When a genetic library has multiple sources for its sequences, use of embedded markers permit tracking of sequence origin. This study compares different methods for synthesizing DNA error correcting codes. A new code-finding technique called the salmon algorithm is introduced and used to improve the size of best known codes in five difficult cases of the problem, including the most studied case: length six, distance three codes. An updated table of the best known code sizes with 36 improved values, resulting from three different algorithms, is presented. Mathematical background results for the problem from multiple sources are summarized. A discussion of practical details that arise in application, including biological design and decoding, is also given in this study.
DNA error correcting codes over the edit metric consist of embeddable markers for sequencing projects that are tolerant of sequencing errors. When a genetic library has multiple sources for its sequences, use of embedded markers permit tracking of sequence origin. This study compares different methods for synthesizing DNA error correcting codes. A new code-finding technique called the salmon algorithm is introduced and used to improve the size of best known codes in five difficult cases of the problem, including the most studied case: length six, distance three codes. An updated table of the best known code sizes with 36 improved values, resulting from three different algorithms, is presented. Mathematical background results for the problem from multiple sources are summarized. A discussion of practical details that arise in application, including biological design and decoding, is also given in this study.DNA error correcting codes over the edit metric consist of embeddable markers for sequencing projects that are tolerant of sequencing errors. When a genetic library has multiple sources for its sequences, use of embedded markers permit tracking of sequence origin. This study compares different methods for synthesizing DNA error correcting codes. A new code-finding technique called the salmon algorithm is introduced and used to improve the size of best known codes in five difficult cases of the problem, including the most studied case: length six, distance three codes. An updated table of the best known code sizes with 36 improved values, resulting from three different algorithms, is presented. Mathematical background results for the problem from multiple sources are summarized. A discussion of practical details that arise in application, including biological design and decoding, is also given in this study.
Author Ashlock, Daniel
Orth, John
Brown, Joseph Alexander
Houghten, Sheridan K.
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Cites_doi 10.1016/0097-3165(93)90085-M
10.1104/pp.103.025015
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Issue 1
Keywords Representation
Error correcting code
Evolutionarycomputation
Nucleic acids
Next-gen sequencing
Bioinformatics
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Snippet DNA error correcting codes over the edit metric consist of embeddable markers for sequencing projects that are tolerant of sequencing errors. When a genetic...
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SubjectTerms Algorithms
Bioinformatics
Computational Biology
DNA
DNA Repair
DNA Replication
Error correcting code
Evolutionarycomputation
Gene Library
monitoring
Next-gen sequencing
Nucleic acids
Representation
salmon
Title On the synthesis of DNA error correcting codes
URI https://dx.doi.org/10.1016/j.biosystems.2012.06.005
https://www.ncbi.nlm.nih.gov/pubmed/22771982
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