Evidence map›Paper›PMID 28049428›Full record

ArticleBMC bioinformatics2017

PERGOLA: fast and deterministic linkage mapping of polyploids.

Fabian Grandke, Soumya Ranganathan, Nikkie van Bers, Jorn R de Haan, Dirk Metzler

Abstract read
In one paragraph

Article in BMC bioinformatics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. QTL Mapping for Resistance to Cankers Induced byPathogens (Basel, Switzerland) · 2020
    Article
  7. Article
  8. Preferential Disomic Segregation andFrontiers in plant science · 2020
    Article
  9. Article
  10. Article
  11. Review
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.

Fabian GrandkeGenetwister Technologies B.V., Wageningen, The Netherlands. grandke@biologie.uni-muenchen.de.ORCID http://orcid.org/0000-0003-2065-6202
Soumya RanganathanFakultät für Biologie, University of Munich (LMU), Munich, Germany.
Nikkie van BersGenetwister Technologies B.V., Wageningen, The Netherlands.
Jorn R de HaanGenetwister Technologies B.V., Wageningen, The Netherlands.
Dirk MetzlerFakultät für Biologie, University of Munich (LMU), Munich, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundA large share of agriculturally and horticulturally important plant species are polyploid. Linkage maps are used to locate associations between genes and traits by breeders and geneticists. Linkage map creation for polyploid species is not supported by standard tools. We want to overcome this limitation and validate our results with simulation studies.

resultsWe developed PERGOLA, a deterministic and heuristic method that addresses this problem. We show that it creates correct linkage groups, marker orders and distances for simulated and real datasets. We compare it to existing tools and demonstrate that it overcomes limitations in ploidy and outperforms them in computational time and mapping accuracy. We represent linkage maps as dendrograms and show that this has advantages in the comparison of different maps.

conclusionsPERGOLA can be used successfully to calculate linkage maps for diploid and polyploid species and outperforms existing tools.

Indexed as

User-Computer InterfaceAlgorithmsChromosome MappingGenetic LinkageInternetPolyploidyHeuristicLinkage mappingPolyploids

Identifiers

PMID28049428
PMCPMC5210299

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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.