Evidence map›Paper›PMID 22363513›Full record

ArticlePloS one2012

Efficient exact maximum a posteriori computation for bayesian SNP genotyping in polyploids.

Oliver Serang, Marcelo Mollinari, Antonio Augusto Franco Garcia

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 61 papers.

0numbers the graph read from it
0cells of the map it votes in
61citing papers in PubMed
12.1field-weighted citation impact, top 1% of its field
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

61 citing papers in PubMed, 156 citations in OpenAlex.

  1. Review
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  8. Tests for segregation distortion in tetraploid F1 populations.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2025
    Article
  9. Advances in genomic characterization of Urochloa humidicola: exploring polyploid inheritance and apomixis.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2023
    Article
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  17. Genomic prediction with allele dosage information in highly polyploid species.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2022
    Article
  18. Review
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  20. Article

1 more citing papers are in PubMed but not listed here.

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

3 authors at 2 institutions in 2 countries.

Oliver SerangDepartment of Neurobiology, Harvard Medical School, Boston, Massachusetts, United States of America. Oliver.Serang@Childrens.Harvard.edu
Marcelo Mollinari
Antonio Augusto Franco Garcia
Universidade Metodista de São Paulo · BRBoston Children's Hospital · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The problem of genotyping polyploids is extremely important for the creation of genetic maps and assembly of complex plant genomes. Despite its significance, polyploid genotyping still remains largely unsolved and suffers from a lack of statistical formality. In this paper a graphical bayesian model for SNP genotyping data is introduced. This model can infer genotypes even when the ploidy of the population is unknown. We also introduce an algorithm for finding the exact maximum a posteriori genotype configuration with this model. This algorithm is implemented in a freely available web-based software package SuperMASSA. We demonstrate the utility, efficiency, and flexibility of the model and algorithm by applying them to two different platforms, each of which is applied to a polyploid data set: Illumina GoldenGate data from potato and Sequenom MassARRAY data from sugarcane. Our method achieves state-of-the-art performance on both data sets and can be trivially adapted to use models that utilize prior information about any platform or species.

Indexed as

AlgorithmsPolyploidyBayes TheoremComputational BiologyDatabases, GeneticGenetic LociGenotyping TechniquesPolymorphism, Single NucleotideSaccharumSoftwareSolanum tuberosumTime Factors

Identifiers

PMID22363513
PMCPMC3281906
OpenAlexW2003519358

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.