ArticleBioinformatics (Oxford, England)2018
POPdemog: visualizing population demographic history from simulation scripts.
Article in Bioinformatics (Oxford, England), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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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.
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Who cites it
5 citing papers in PubMed.
- Levels and Spatial Patterns of Effective Population Sizes in the Southern Damselfly (Evolutionary applications · 2024Article
- Expanding the stdpopsim species catalog, and lessons learned for realistic genome simulations.eLife · 2023Article
- Demes: a standard format for demographic models.Genetics · 2022Article
- Lessons Learned from Bugs in Models of Human History.American journal of human genetics · 2020Article
- Population Genomics Training for the Next Generation of Conservation Geneticists: ConGen 2018 Workshop.The Journal of heredity · 2020Article
Corrections and comments
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Authors and funding
4 authors.
Funding
Abstract
Summary: We present POPdemog, an R package which converts coalescent simulation program input parameters into a visual representation of the demographic model. This package is useful for preparing figures, for checking that demographic simulation parameters have been correctly specified, and for understanding demographic models that other researchers have used to simulate genetic data. The POPdemog package supports the ms, msa, msHot, MaCS, msprime, scrm and Cosi2 programs, and includes options for customizing the output figures. Availability and implementation: The POPdemog package and its tutorial can be freely downloaded from https://github.com/YingZhou001/POPdemog. Supplementary information: Supplementary data are available at Bioinformatics online.
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Registered trials
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