Evidence map›Paper›PMID 28725400›Full record

ArticleEcology and evolution2016

Dealing with paralogy in RADseq data: in silico detection and single nucleotide polymorphism validation in

Cindy F Verdu, Erwan Guichoux, Samuel Quevauvillers, Olivier De Thier, Yec'han Laizet, Adline Delcamp, Frédéric Gévaudant, Arnaud Monty, Annabel J Porté, Philippe Lejeune and 2 more

Abstract read
In one paragraph

Article in Ecology and evolution, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Review
  10. 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

12 authors.

Cindy F VerduForest Management Unit Gembloux Agro-Bio Tech University of Liège Gembloux Belgium.
Erwan GuichouxBiogeco INRA University of Bordeaux Cestas France.
Samuel QuevauvillersForest Management Unit Gembloux Agro-Bio Tech University of Liège Gembloux Belgium.
Olivier De ThierForest Management Unit Gembloux Agro-Bio Tech University of Liège Gembloux Belgium.
Yec'han LaizetBiogeco INRA University of Bordeaux Cestas France.
Adline DelcampBiogeco INRA University of Bordeaux Cestas France.
Frédéric GévaudantBFP INRA University of Bordeaux Villenave d'Ornon France.
Arnaud MontyBiodiversity and Landscape Unit Gembloux Agro-Bio Tech University of Liège Gembloux Belgium.
Annabel J PortéBiogeco INRA University of Bordeaux Cestas France.
Philippe LejeuneForest Management Unit Gembloux Agro-Bio Tech University of Liège Gembloux Belgium.
Ludivine LassoisForest Management Unit Gembloux Agro-Bio Tech University of Liège Gembloux Belgium.
Stéphanie MarietteBiogeco INRA University of Bordeaux Cestas France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The RADseq technology allows researchers to efficiently develop thousands of polymorphic loci across multiple individuals with little or no prior information on the genome. However, many questions remain about the biases inherent to this technology. Notably, sequence misalignments arising from paralogy may affect the development of single nucleotide polymorphism (SNP) markers and the estimation of genetic diversity. We evaluated the impact of putative paralog loci on genetic diversity estimation during the development of SNPs from a RADseq dataset for the nonmodel tree species

Indexed as

black locustdepth of coverageputative paralogy filteringrestriction site‐associated DNA sequencing

Identifiers

PMID28725400
PMCPMC5513258

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.