Evidence map›Paper›PMID 29284518›Full record

ArticleGenome biology2017

DE-kupl: exhaustive capture of biological variation in RNA-seq data through k-mer decomposition.

Jérôme Audoux, Nicolas Philippe, Rayan Chikhi, Mikaël Salson, Mélina Gallopin, Marc Gabriel, Jérémy Le Coz, Emilie Drouineau, Thérèse Commes, Daniel Gautheret

Abstract read
In one paragraph

Article in Genome biology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing 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

26 citing papers in PubMed.

  1. Article
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  6. Pseudoassembly of k-mers.bioRxiv : the preprint server for biology · 2025
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  15. Kmerator Suite: design of specificNAR genomics and bioinformatics · 2021
    Article
  16. Article
  17. Article
  18. Article
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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

10 authors.

Jérôme AudouxINSERM U1183 IRMB, Université de Montpellier, Hopital St Eloi, 80 avenue Augustin Fliche, Montpellier, 34295, France.
Nicolas PhilippeInstitut de Biologie Computationnelle, Université Montpellier, Montpellier, France.
Rayan ChikhiUniv. Lille, CNRS, Inria, UMR 9189 - CRIStAL - F-59000, Lille, France.
Mikaël SalsonUniv. Lille, CNRS, Inria, UMR 9189 - CRIStAL - F-59000, Lille, France.
Mélina GallopinInstitute for Integrative Biology of the Cell, CEA, CNRS, Université Paris-Sud, Université Paris Saclay, Gif sur Yvette, France.
Marc GabrielInstitute for Integrative Biology of the Cell, CEA, CNRS, Université Paris-Sud, Université Paris Saclay, Gif sur Yvette, France.
Jérémy Le CozInstitute for Integrative Biology of the Cell, CEA, CNRS, Université Paris-Sud, Université Paris Saclay, Gif sur Yvette, France.
Emilie DrouineauInstitute for Integrative Biology of the Cell, CEA, CNRS, Université Paris-Sud, Université Paris Saclay, Gif sur Yvette, France.
Thérèse CommesINSERM U1183 IRMB, Université de Montpellier, Hopital St Eloi, 80 avenue Augustin Fliche, Montpellier, 34295, France.
Daniel GautheretInstitute for Integrative Biology of the Cell, CEA, CNRS, Université Paris-Sud, Université Paris Saclay, Gif sur Yvette, France. daniel.gautheret@u-psud.fr.ORCID 0000-0002-1508-8469

Funding

ANR (France) ANR-10-INBS-0009 (France Génomique)Plan Cancer - Systems Biology #bio2014-04
6 · The paper itself

Abstract

We introduce a k-mer-based computational protocol, DE-kupl, for capturing local RNA variation in a set of RNA-seq libraries, independently of a reference genome or transcriptome. DE-kupl extracts all k-mers with differential abundance directly from the raw data files. This enables the retrieval of virtually all variation present in an RNA-seq data set. This variation is subsequently assigned to biological events or entities such as differential long non-coding RNAs, splice and polyadenylation variants, introns, repeats, editing or mutation events, and exogenous RNA. Applying DE-kupl to human RNA-seq data sets identified multiple types of novel events, reproducibly across independent RNA-seq experiments.

Indexed as

Genetic VariationSoftwareAllelesComputational BiologyGene Expression ProfilingGene Expression RegulationHigh-Throughput Nucleotide SequencingHumansPolyadenylationReproducibility of ResultsRNARNA, AntisenseRNA, Long NoncodingRNA, MessengerRNA SplicingSequence Analysis, RNARNARNA, AntisenseRNA, Long NoncodingRNA, Messenger

Identifiers

PMID29284518
PMCPMC5747171

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.