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Unexpected cross-species contamination in genome sequencing projects.
Merchant, Samier; Wood, Derrick E; Salzberg, Steven L.
Afiliación
  • Merchant S; Center for Computational Biology, McKusick-Nathans Institute of Genetic Medicine, Johns Hopkins University , Baltimore, MD , USA ; Department of Computer Science, Brown University , Providence, RI , USA.
  • Wood DE; Center for Computational Biology, McKusick-Nathans Institute of Genetic Medicine, Johns Hopkins University , Baltimore, MD , USA ; Department of Computer Science, Johns Hopkins University , USA.
  • Salzberg SL; Center for Computational Biology, McKusick-Nathans Institute of Genetic Medicine, Johns Hopkins University , Baltimore, MD , USA ; Department of Computer Science, Johns Hopkins University , USA ; Department of Biomedical Engineering, Johns Hopkins University , USA.
PeerJ ; 2: e675, 2014.
Article en En | MEDLINE | ID: mdl-25426337
ABSTRACT
The raw data from a genome sequencing project sometimes contains DNA from contaminating organisms, which may be introduced during sample collection or sequence preparation. In some instances, these contaminants remain in the sequence even after assembly and deposition of the genome into public databases. As a result, searches of these databases may yield erroneous and confusing results. We used efficient microbiome analysis software to scan the draft assembly of domestic cow, Bos taurus, and identify 173 small contigs that appeared to derive from microbial contaminants. In the course of verifying these findings, we discovered that one genome, Neisseria gonorrhoeae TCDC-NG08107, although putatively a complete genome, contained multiple sequences that actually derived from the cow and sheep genomes. Our findings illustrate the need to carefully validate findings of anomalous DNA that rely on comparisons to either draft or finished genomes.
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Texto completo: 1 Bases de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: PeerJ Año: 2014 Tipo del documento: Article País de afiliación: Estados Unidos

Texto completo: 1 Bases de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: PeerJ Año: 2014 Tipo del documento: Article País de afiliación: Estados Unidos