QuantiNemo 2: a Swiss knife to simulate complex demographic and genetic scenarios, forward and backward in time.

Détails

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Etat: Public
Version: Final published version
Licence: CC BY-NC 4.0
ID Serval
serval:BIB_6D2F79671E91
Type
Article: article d'un périodique ou d'un magazine.
Collection
Publications
Institution
Titre
QuantiNemo 2: a Swiss knife to simulate complex demographic and genetic scenarios, forward and backward in time.
Périodique
Bioinformatics
Auteur⸱e⸱s
Neuenschwander S., Michaud F., Goudet J.
ISSN
1367-4811 (Electronic)
ISSN-L
1367-4803
Statut éditorial
Publié
Date de publication
01/03/2019
Peer-reviewed
Oui
Volume
35
Numéro
5
Pages
886-888
Langue
anglais
Notes
Publication types: Journal Article ; Research Support, Non-U.S. Gov't
Publication Status: ppublish
Résumé
QuantiNemo 2 is a stochastic simulation program for quantitative population genetics. It was developed to investigate the effects of selection, mutation, recombination and drift on quantitative traits and neutral markers in structured populations connected by migration and located in heterogeneous habitats. A specific feature is that it allows to switch between an individual-based full-featured mode and a population-based faster mode. Several demographic, genetic and selective parameters can be fine-tuned in QuantiNemo 2: population, selection, trait(s) architecture, genetic map for QTL and/or markers, environment, demography and mating system are the main features.
QuantiNemo 2 is a C++ program with a source code available under the GNU General Public License version 3. Executables are provided for Windows, MacOS and Linux platforms, together with a comprehensive manual and tutorials illustrating its flexibility. The executable, manual and tutorial can be found on the website www2.unil.ch/popgen/softwares/quantinemo/, while the source code and user support are given through GitHub: github.com/jgx65/quantinemo.
Supplementary data are available at Bioinformatics online.
Mots-clé
Demography, Genetics, Population, Humans, Phenotype, Software
Pubmed
Web of science
Open Access
Oui
Création de la notice
07/04/2019 14:32
Dernière modification de la notice
21/11/2022 8:10
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