Nemo specifications


Unique identifier OMICS_17388
Name Nemo
Software type Package/Module
Interface Command line interface
Restrictions to use None
Operating system Unix/Linux, Mac OS, Windows
Programming languages C++
License GNU General Public License version 2.0
Computer skills Advanced
Version 2.3.46
Stability Beta
Maintained Yes



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  • person_outline Frederic Guillaume <>

Publication for Nemo

Nemo in publications

PMCID: 5424169
PMID: 28474676
DOI: 10.1038/ncomms15399

[…] run using the biomod package in r (the complete script is available here: the extended code of nemo and the corresponding input simulation files will be available upon request before publication of the version of nemo we used in this study. a github repository will then be updated: […]

PMCID: 4231590
PMID: 25553062
DOI: 10.1111/eva.12197

[…] onential decline gives population sizes at each generation of: 2000, 1383, 956, 661, 457, 316, 219, 151, 105, 72, and 50 (figure s2). note that forward-in-time individual-based simulations, including nemo, generally model (by their individual-based nature) census population size nc. of course, effective population size (ne) is the parameter directly influencing loss of genetic diversity (antao et  […]

PMCID: 2851118
PMID: 20808525
DOI: 10.2174/138920210790218007

[…] and migration, however, is somewhat limited by the genome size it can manage. fregene [] simulates complex demographic and evolutionary models similarly to genomepop []. kernelpop [] and nemo [] implement individual-based, spatially explicit models. kernelpop uses the r environment []. mendel's accountant [] performs forward-time population simulations and can be supported […]

PMCID: 2396168
PMID: 18460188
DOI: 10.1186/1471-2148-8-134

[…] to the invasion of ci-infections., to complement the analytical model, we ran individual-based computer simulations of ci spread, based on an extended version of the population genetics software nemo []. the simulations allowed us to relax some of the more idealistic assumptions of the model and measure additional parameters of infection dynamics, such as the speed of spread […]

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Nemo institution(s)
Department of Ecology and Evolution, University of Lausanne, Biofore, Lausanne, Switzerland; Department of Zoology, University of British Columbia, Vancouver, BC, Canada; Vital-IT, Swiss Institute of Bioinformatics, Quartier Sorge-Genopode, Lausanne, Switzerland
Nemo funding source(s)
This work has been supported by SNSF grants 31-059442, 31-1000348 and 31-108194.

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