Evidence map›Paper›PMID 30576403›Full record

ArticleBioinformatics (Oxford, England)2019

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

Céline Trébeau, Jacques Boutet de Monvel, Fabienne Wong Jun Tai, Christine Petit, Raphaël Etournay

Abstract read
In one paragraph

Article in Bioinformatics (Oxford, England), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Céline TrébeauUnité de Génétique et Physiologie de l'Audition, Département Neuroscience, Institut Pasteur, Paris, France.
Jacques Boutet de MonvelUnité de Génétique et Physiologie de l'Audition, Département Neuroscience, Institut Pasteur, Paris, France.
Fabienne Wong Jun TaiUnité de Génétique et Physiologie de l'Audition, Département Neuroscience, Institut Pasteur, Paris, France.
Christine PetitUnité de Génétique et Physiologie de l'Audition, Département Neuroscience, Institut Pasteur, Paris, France.
Raphaël EtournayUnité de Génétique et Physiologie de l'Audition, Département Neuroscience, Institut Pasteur, Paris, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

summaryUsing 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.

Indexed as

SoftwareBase SequenceDNAGene LibrarySequence AnalysisDNA

Identifiers

PMID30576403
PMCPMC6662285

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.