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Absent sequences: nullomers and primes.
Hampikian, Greg; Andersen, Tim.
Afiliação
  • Hampikian G; Biology, Boise State University, 1910 N University Drive, Boise, Idaho 83725, USA.
Pac Symp Biocomput ; : 355-66, 2007.
Article em En | MEDLINE | ID: mdl-17990505
ABSTRACT
We describe a new publicly available algorithm for identifying absent sequences, and demonstrate its use by listing the smallest oligomers not found in the human genome (human "nullomers"), and those not found in any reported genome or GenBank sequence ("primes"). These absent sequences define the maximum set of potentially lethal oligomers. They also provide a rational basis for choosing artificial DNA sequences for molecular barcodes, show promise for species identification and environmental characterization based on absence, and identify potential targets for therapeutic intervention and suicide markers.
Assuntos
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Base de dados: MEDLINE Assunto principal: Algoritmos / Análise de Sequência de DNA / Bases de Dados Genéticas Limite: Humans Idioma: En Ano de publicação: 2007 Tipo de documento: Article
Buscar no Google
Base de dados: MEDLINE Assunto principal: Algoritmos / Análise de Sequência de DNA / Bases de Dados Genéticas Limite: Humans Idioma: En Ano de publicação: 2007 Tipo de documento: Article