Comparison of Markov Chain Monte Carlo Software for the Evolutionary Analysis of Y-Chromosomal Microsatellite Data.

Sven Gundlach, Olaf Junge, Lars Wienbrandt, Michael Krawczak, Amke Caliebe

Abstract read

In one paragraph

Article in Computational and structural biotechnology journal, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it

0cells of the map it votes in

1citing 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

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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

1 citing paper in PubMed.

Entropy-metric estimation of the small data models with stochastic parameters.Heliyon · 2024
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

5 authors.

Sven GundlachInstitute of Medical Informatics and Statistics, Kiel University, University Hospital Schleswig-Holstein, Brunswiker Strasse 10, 24105 Kiel, Germany.

Olaf JungeInstitute of Medical Informatics and Statistics, Kiel University, University Hospital Schleswig-Holstein, Brunswiker Strasse 10, 24105 Kiel, Germany.

Lars WienbrandtInstitute of Clinical Molecular Biology, Kiel University, University Hospital Schleswig-Holstein, Rosalind-Franklin-Strasse 12, 24105 Kiel, Germany.

Michael KrawczakInstitute of Medical Informatics and Statistics, Kiel University, University Hospital Schleswig-Holstein, Brunswiker Strasse 10, 24105 Kiel, Germany.

Amke CaliebeInstitute of Medical Informatics and Statistics, Kiel University, University Hospital Schleswig-Holstein, Brunswiker Strasse 10, 24105 Kiel, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The evolutionary analysis of genetic data is an important subject of modern bioscience, with practical applications in diverse fields. Parameters of interest in this context include effective population sizes, mutation rates, population growth rates and the times to most recent common ancestors. Studying Y-chromosomal microsatellite data, in particular, has proven useful to unravel the recent patrilineal history of

Indexed as

Bayesian inferenceCoalescentConvergencePopulation geneticsRuntime

Identifiers

PMID31452861

DOI10.1016/j.csbj.2019.07.014

PMCPMC6700485

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LicenceCC BY-NC-ND

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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.