Evidence map›Paper›PMID 30590560›Full record

ArticleMolecular biology and evolution2019

Evolutionary Modeling in SLiM 3 for Beginners.

Benjamin C Haller, Philipp W Messer

Abstract read
In one paragraph

Article in Molecular biology and evolution, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

  1. Polarising SNPs Without Outgroup.Molecular ecology resources · 2026
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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

2 authors.

Benjamin C HallerDepartment of Biological Statistics and Computational Biology, Cornell University, Ithaca, NY.
Philipp W MesserDepartment of Biological Statistics and Computational Biology, Cornell University, Ithaca, NY.

Funding

Evolutionary dynamics of CRISPR gene drives in natural populationsR01GM127418 · NIGMS · CORNELL UNIVERSITY · PI MESSER, PHILIPP W · 2018 to 2022
$1.6M
NIGMS NIH HHS R01 GM127418
6 · The paper itself

Abstract

The SLiM forward genetic simulation framework has proved to be a powerful and flexible tool for population genetic modeling. However, as a complex piece of software with many features that allow simulating a diverse assortment of evolutionary models, its initial learning curve can be difficult. Here we provide a step-by-step demonstration of how to build a simple evolutionary model in SLiM 3, to help new users get started. We will begin with a panmictic neutral model, and build up to a model of the evolution of a polygenic quantitative trait under selection for an environmental phenotypic optimum.

Indexed as

Biological EvolutionGenetic TechniquesModels, GeneticSoftwareMutationPhenotypeQuantitative Trait LociSelection, Geneticmodeling tutorialpopulation genetic simulationQTL evolution

Identifiers

PMID30590560
PMCPMC6501880

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.