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forqs specifications


Unique identifier OMICS_02196
Name forqs
Alternative name Forward-in-time simulation of Recombination, Quantitative traits, and Selection
Software type Package/Module
Interface Command line interface
Restrictions to use None
Operating system Unix/Linux
Programming languages C++
License BSD 2-clause “Simplified” License
Computer skills Advanced
Stability Stable
Maintained Yes


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Publication for Forward-in-time simulation of Recombination, Quantitative traits, and Selection

forqs citations


Nucleotide diversity inflation as a genome wide response to experimental lifespan extension in Drosophila melanogaster

BMC Genomics
PMCID: 5237518
PMID: 28088192
DOI: 10.1186/s12864-017-3485-0

[…] Genome simulations under a neutrality model were conducted using forqs []. The haplotype data for the simulation were obtained from the Drosophila Genetic Reference Panel 2 (DGRP2, of 205 inbreed lines. The mass-breeding phase of the e […]


Rapid genomic changes in Drosophila melanogaster adapting to desiccation stress in an experimental evolution system

BMC Genomics
PMCID: 4791783
PMID: 26979755
DOI: 10.1186/s12864-016-2556-y

[…] Genome-wide neutrality simulations were performed using forqs [] to test whether observed patterns of genomic differentiation could result from drift alone. The haplotype data for the simulation under a neutrality model were derived from the Drosophila Gen […]


Power Analysis of Artificial Selection Experiments Using Efficient Whole Genome Simulation of Quantitative Traits

PMCID: 4391575
PMID: 25672748
DOI: 10.1534/genetics.115.175075
call_split See protocol

[…] We used the program forqs () for all forward simulations. forqs simulates whole genomes of individuals efficiently by tracking the haplotype chunks that are inherited from the founder individuals in the initial generatio […]

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forqs institution(s)
Bioinformatics Interdepartmental Program, University of California, Los Angeles, CA, USA; Department of Human Genetics, University of Chicago, Chicago, IL, USA

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