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Maximum likelihood genetic sequence reconstruction from oligo content
Author(s) -
Hagstrom Jane N.,
Hagstrom Ray,
Overbeek Ross,
Price Morgan,
Schrage Linus
Publication year - 1994
Publication title -
networks
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.977
H-Index - 64
eISSN - 1097-0037
pISSN - 0028-3045
DOI - 10.1002/net.3230240506
Subject(s) - sequence (biology) , character (mathematics) , computer science , oligomer restriction , computational biology , oligonucleotide , algorithm , dna sequencing , genetic algorithm , artificial intelligence , combinatorics , pattern recognition (psychology) , biology , genetics , mathematics , dna , machine learning , geometry
One promising technique for determining long genetic sequences is sequencing by oligonucleotide content. This technique involves probing a segment of the unknown multimillion “character” genetic sequence for the presence or absence of known short subsequences. The information obtained from such hybridization experiments may be represented in network form. Network optimization methods may then be applied to identify the most likely forms of the unknown target sequence. © 1994 by John Wiley & Sons, Inc.