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DNABarcodeCompatibility: an R-package for optimizing DNA-barcode combinations in multiplex sequencing experiments.
Trébeau, Céline; Boutet de Monvel, Jacques; Wong Jun Tai, Fabienne; Petit, Christine; Etournay, Raphaël.
Afiliação
  • Trébeau C; Unité de Génétique et Physiologie de l'Audition, Département Neuroscience, Institut Pasteur, Paris, France.
  • Boutet de Monvel J; UMRS 1120, Institut National de la Santé et de la Recherche Médicale, Paris, France.
  • Wong Jun Tai F; Sorbonne Université, Paris, France.
  • Petit C; Unité de Génétique et Physiologie de l'Audition, Département Neuroscience, Institut Pasteur, Paris, France.
  • Etournay R; UMRS 1120, Institut National de la Santé et de la Recherche Médicale, Paris, France.
Bioinformatics ; 35(15): 2690-2691, 2019 08 01.
Article em En | MEDLINE | ID: mdl-30576403
ABSTRACT

SUMMARY:

Using adequate DNA barcodes is essential to unambiguously identify each DNA library within a multiplexed set of libraries sequenced using next-generation sequencers. We introduce DNABarcodeCompatibility, an R-package that allows one to design single or dual-barcoding multiplex experiments by imposing desired constraints on the barcodes (including sequencer chemistry, barcode pairwise minimal distance and nucleotide content), while optimizing barcode frequency usage, thereby allowing one to both facilitate the demultiplexing step and spare expensive library-preparation kits. The package comes with a user-friendly interface and a web app developed in Java and Shiny (https//dnabarcodecompatibility.pasteur.fr), respectively, with the aim to help bridge the expertise of core facilities with the experimental needs of non-experienced users. AVAILABILITY AND IMPLEMENTATION DNABarcodeCompatibility can be easily extended to fulfil specific project needs. The source codes of the R-package and its user interfaces are publicly available along with documentation at [https//github.com/comoto-pasteur-fr] under the GPL-2 licence. SUPPLEMENTARY INFORMATION Supplementary data are available at Bioinformatics online.
Assuntos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Software Idioma: En Ano de publicação: 2019 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Software Idioma: En Ano de publicação: 2019 Tipo de documento: Article