DNABarcodeCompatibility: an R-package for optimizing DNA-barcode combinations in multiplex sequencing experiments.


Journal

Bioinformatics (Oxford, England)
ISSN: 1367-4811
Titre abrégé: Bioinformatics
Pays: England
ID NLM: 9808944

Informations de publication

Date de publication:
01 08 2019
Historique:
received: 09 07 2018
revised: 19 11 2018
accepted: 17 12 2018
pubmed: 24 12 2018
medline: 17 6 2020
entrez: 22 12 2018
Statut: ppublish

Résumé

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. 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 data are available at Bioinformatics online.

Identifiants

pubmed: 30576403
pii: 5255876
doi: 10.1093/bioinformatics/bty1030
pmc: PMC6662285
doi:

Substances chimiques

DNA 9007-49-2

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

2690-2691

Informations de copyright

© The Author(s) 2018. Published by Oxford University Press.

Références

PLoS One. 2012;7(5):e36852
pubmed: 22615825
Bioinformatics. 2017 Mar 15;33(6):920-922
pubmed: 28052927
BMC Bioinformatics. 2018 Jul 5;19(1):257
pubmed: 29976145
Bioinformatics. 2019 Mar 1;35(5):901-902
pubmed: 30165585

Auteurs

Céline Trébeau (C)

Unité de Génétique et Physiologie de l'Audition, Département Neuroscience, Institut Pasteur, Paris, France.
UMRS 1120, Institut National de la Santé et de la Recherche Médicale, Paris, France.
Sorbonne Université, Paris, France.

Jacques Boutet de Monvel (J)

Unité de Génétique et Physiologie de l'Audition, Département Neuroscience, Institut Pasteur, Paris, France.
UMRS 1120, Institut National de la Santé et de la Recherche Médicale, Paris, France.
Sorbonne Université, Paris, France.

Fabienne Wong Jun Tai (F)

Unité de Génétique et Physiologie de l'Audition, Département Neuroscience, Institut Pasteur, Paris, France.
UMRS 1120, Institut National de la Santé et de la Recherche Médicale, Paris, France.
Sorbonne Université, Paris, France.

Christine Petit (C)

Unité de Génétique et Physiologie de l'Audition, Département Neuroscience, Institut Pasteur, Paris, France.
UMRS 1120, Institut National de la Santé et de la Recherche Médicale, Paris, France.
Sorbonne Université, Paris, France.
Collège de France, Paris, France. 5Institut de la Vision, Paris, France.
Institut de la Vision, Paris, France.

Raphaël Etournay (R)

Unité de Génétique et Physiologie de l'Audition, Département Neuroscience, Institut Pasteur, Paris, France.
UMRS 1120, Institut National de la Santé et de la Recherche Médicale, Paris, France.
Sorbonne Université, Paris, France.

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Classifications MeSH