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The Molecular Data Organization for Publication (MDOP) R package to aid the upload of data to shared databases.
Young, Robert G; Yu, Jiaojia; Cote, Marie-José; Hanner, Robert H.
Afiliação
  • Young RG; University of Guelph, Guelph, Canada University of Guelph Guelph Canada.
  • Yu J; University of Guelph, Guelph, Canada University of Guelph Guelph Canada.
  • Cote MJ; Canadian Food Inspection Agency, Ottawa, Canada Canadian Food Inspection Agency Ottawa Canada.
  • Hanner RH; University of Guelph, Guelph, Canada University of Guelph Guelph Canada.
Biodivers Data J ; 8: e50630, 2020.
Article em En | MEDLINE | ID: mdl-32377152
Molecular identification methods, such as DNA barcoding, rely on centralized databases populated with morphologically identified individuals and their referential nucleotide sequence records. As molecular identification approaches have expanded in use to fields such as food fraud, environmental surveys, and border surveillance, there is a need for diverse international data sets. Although central data repositories, like the Barcode of Life Datasystems (BOLD), provided workarounds for formatting data for upload, these workarounds can be taxing on researchers with few resources and limited funding. To address these concerns, we present the Molecular Data Organization for Publication (MDOP) R package to assist researchers in uploading data to public databases. To illustrate the use of these scripts, we use the BOLD system as an example. The main intent of this writing is to assist in the movement of data, from academic, governmental, and other institutional computer systems, to public locations. The movement of these data can then better contribute to the global DNA barcoding initiative and other global molecular data efforts.
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Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2020 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2020 Tipo de documento: Article