Evidence map›Paper›PMID 24135263›Full record

ArticleBioinformatics (Oxford, England)2014

Discretized Gaussian mixture for genotyping of microsatellite loci containing homopolymer runs.

Hongseok Tae, Dong-Yun Kim, John McCormick, Robert E Settlage, Harold R Garner

Open access · bronzeAbstract read
In one paragraph

Article in Bioinformatics (Oxford, England), 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
1.6field-weighted citation impact, top 15% of its field
1 · What the graph read from it

What it found

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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

15 citing papers in PubMed, 20 citations in OpenAlex.

  1. Article
  2. Article
  3. Assessment of Microsatellite Instability from Next-Generation Sequencing Data.Advances in experimental medicine and biology · 2022
    Article
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  5. Article
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  10. Cancer informatics · 2017
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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

5 authors at 3 institutions in 1 country.

Hongseok TaeVirginia Bioinformatics Institute, Virginia Tech, Blacksburg, VA 24061 and Office of Biostatistics Research, National Heart, Lung and Blood Institute, National Institutes of Health, Bethesda, MD 20892, USA.
Dong-Yun Kim
John McCormick
Robert E Settlage
Harold R Garner
National Heart Lung and Blood Institute · USNational Institutes of Health · USVirginia Tech · US

Funding

Exhaustive Analysis of Microsatellite Loci in the 1000 Genomes ProjectU01HG005719 · NHGRI · VIRGINIA POLYTECHNIC INST AND ST UNIV · PI GARNER, HAROLD R · 2010 to 2011
$529k
NHGRI NIH HHS U01 HG005719NHGRI NIH HHS U01 HG005719-01NHGRI NIH HHS U01 HG005719-02
6 · The paper itself

Abstract

motivationInferring lengths of inherited microsatellite alleles with single base pair resolution from short sequence reads is challenging due to several sources of noise caused by the repetitive nature of microsatellites and the technologies used to generate raw sequence data.

resultsWe have developed a program, GenoTan, using a discretized Gaussian mixture model combined with a rules-based approach to identify inherited variation of microsatellite loci from short sequence reads without paired-end information. It effectively distinguishes length variants from noise including insertion/deletion errors in homopolymer runs by addressing the bidirectional aspect of insertion and deletion errors in sequence reads. Here we first introduce a homopolymer decomposition method which estimates error bias toward insertion or deletion in homopolymer sequence runs. Combining these approaches, GenoTan was able to genotype 94.9% of microsatellite loci accurately from simulated data with 40x sequence coverage quickly while the other programs showed <90% correct calls for the same data and required 5∼30× more computational time than GenoTan. It also showed the highest true-positive rate for real data using mixed sequence data of two Drosophila inbred lines, which was a novel validation approach for genotyping. AVAILABILITY: GenoTan is open-source software available at http://genotan.sourceforge.net.

Indexed as

Genotyping TechniquesMicrosatellite RepeatsAllelesAnimalsDrosophilaGenetic LociGenotypeHumansNormal DistributionSequence Analysis, DNASoftware

Identifiers

PMID24135263
PMCPMC3933874
OpenAlexW2140655000

What OpenQuestion holds

Textmetadata
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.