Evidence map›Paper›PMID 40045175›Full record

ArticleBioinformatics (Oxford, England)2025

vcfgl: a flexible genotype likelihood simulator for VCF/BCF files.

Isin Altinkaya, Rasmus Nielsen, Thorfinn Sand Korneliussen

Abstract read
In one paragraph

Article in Bioinformatics (Oxford, England), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. vcfsim: flexible simulation of all-sites VCFs with missing data.bioRxiv : the preprint server for biology · 2025
    Article
  5. 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

3 authors.

Isin AltinkayaLundbeck Foundation GeoGenetics Centre, Globe Institute, University of Copenhagen, Copenhagen K, 1350, Denmark.ORCID 0000-0002-6364-3332
Rasmus NielsenLundbeck Foundation GeoGenetics Centre, Globe Institute, University of Copenhagen, Copenhagen K, 1350, Denmark.ORCID 0000-0003-0513-6591
Thorfinn Sand KorneliussenLundbeck Foundation GeoGenetics Centre, Globe Institute, University of Copenhagen, Copenhagen K, 1350, Denmark.

Funding

Inference and application of graphs for genomic dataR35GM153400 · NIGMS · UNIVERSITY OF CALIFORNIA BERKELEY · PI RASMUS NIELSEN · 2024 to 2026
$1.3M
Lundbeck Foundation Centre for Disease Evolution R302-2018-2155NIGMS NIH HHS R35 GM153400
6 · The paper itself

Abstract

motivationAccurate quantification of genotype uncertainty is pivotal in ensuring the reliability of genetic inferences drawn from NGS data. Genotype uncertainty is typically modeled using Genotype Likelihoods (GLs), which can help propagate measures of statistical uncertainty in base calls to downstream analyses. However, the effects of errors and biases in the estimation of GLs, introduced by biases in the original base call quality scores or the discretization of quality scores, as well as the choice of the GL model, remain under-explored.

resultsWe present vcfgl, a versatile tool for simulating genotype likelihoods associated with simulated read data. It offers a framework for researchers to simulate and investigate the uncertainties and biases associated with the quantification of uncertainty, thereby facilitating a deeper understanding of their impacts on downstream analytical methods. Through simulations, we demonstrate the utility of vcfgl in benchmarking GL-based methods. The program can calculate GLs using various widely used genotype likelihood models and can simulate the errors in quality scores using a Beta distribution. It is compatible with modern simulators such as msprime and SLiM, and can output data in pileup, Variant Call Format (VCF)/BCF, and genomic VCF file formats, supporting a wide range of applications. The vcfgl program is freely available as an efficient and user-friendly software written in C/C++. AVAILABILITY AND IMPLEMENTATION: vcfgl is freely available at https://github.com/isinaltinkaya/vcfgl.

Indexed as

Computational BiologyGenotypeSoftwareComputer SimulationHigh-Throughput Nucleotide SequencingHumansLikelihood FunctionsSequence Analysis, DNA

Identifiers

PMID40045175
PMCPMC11968323

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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.