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VecScreen_plus_taxonomy: imposing a tax(onomy) increase on vector contamination screening.
Schäffer, Alejandro A; Nawrocki, Eric P; Choi, Yoon; Kitts, Paul A; Karsch-Mizrachi, Ilene; McVeigh, Richard.
Afiliación
  • Schäffer AA; Department of Health and Human Services, National Center for Biotechnology Information, National Institutes of Health, Bethesda, MD 20894, USA.
  • Nawrocki EP; Department of Health and Human Services, National Center for Biotechnology Information, National Institutes of Health, Bethesda, MD 20894, USA.
  • Choi Y; Department of Health and Human Services, National Center for Biotechnology Information, National Institutes of Health, Bethesda, MD 20894, USA.
  • Kitts PA; Department of Health and Human Services, National Center for Biotechnology Information, National Institutes of Health, Bethesda, MD 20894, USA.
  • Karsch-Mizrachi I; Department of Health and Human Services, National Center for Biotechnology Information, National Institutes of Health, Bethesda, MD 20894, USA.
  • McVeigh R; Department of Health and Human Services, National Center for Biotechnology Information, National Institutes of Health, Bethesda, MD 20894, USA.
Bioinformatics ; 34(5): 755-759, 2018 03 01.
Article en En | MEDLINE | ID: mdl-29069347
Motivation: Nucleic acid sequences in public databases should not contain vector contamination, but many sequences in GenBank do (or did) contain vectors. The National Center for Biotechnology Information uses the program VecScreen to screen submitted sequences for contamination. Additional tools are needed to distinguish true-positive (contamination) from false-positive (not contamination) VecScreen matches. Results: A principal reason for false-positive VecScreen matches is that the sequence and the matching vector subsequence originate from closely related or identical organisms (for example, both originate in Escherichia coli). We collected information on the taxonomy of sources of vector segments in the UniVec database used by VecScreen. We used that information in two overlapping software pipelines for retrospective analysis of contamination in GenBank and for prospective analysis of contamination in new sequence submissions. Using the retrospective pipeline, we identified and corrected over 8000 contaminated sequences in the nonredundant nucleotide database. The prospective analysis pipeline has been in production use since April 2017 to evaluate some new GenBank submissions. Availability and implementation: Data on the sources of UniVec entries were included in release 10.0 (ftp://ftp.ncbi.nih.gov/pub/UniVec/). The main software is freely available at https://github.com/aaschaffer/vecscreen_plus_taxonomy. Contact: aschaffe@helix.nih.gov. Supplementary information: Supplementary data are available at Bioinformatics online.
Asunto(s)

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Programas Informáticos / Análisis de Secuencia de ADN / Bases de Datos de Ácidos Nucleicos Tipo de estudio: Diagnostic_studies / Prognostic_studies / Screening_studies Idioma: En Revista: Bioinformatics Asunto de la revista: INFORMATICA MEDICA Año: 2018 Tipo del documento: Article País de afiliación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Programas Informáticos / Análisis de Secuencia de ADN / Bases de Datos de Ácidos Nucleicos Tipo de estudio: Diagnostic_studies / Prognostic_studies / Screening_studies Idioma: En Revista: Bioinformatics Asunto de la revista: INFORMATICA MEDICA Año: 2018 Tipo del documento: Article País de afiliación: Estados Unidos