forqs statistics

To access cutting-edge analytics on consensus tools, life science contexts and associated fields, you will need to subscribe to our premium service.

Subscribe
info

Citations per year

Citations chart
info

Popular tool citations

chevron_left Forward simulation chevron_right
Popular tools chart
info

Tool usage distribution map

Tool usage distribution map
info

Associated diseases

Associated diseases

forqs specifications

Information


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

Versioning


Add your version

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

forqs in publications

 (3)
PMCID: 5237518
PMID: 28088192
DOI: 10.1186/s12864-017-3485-0

[…] were “-n 100 -c 5 -c 400 -q 20 -e sanger -p -k 0.0000000001”, while “--theta” was set to be the θ estimated for each sample., 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, http://dgrp2.gnets.ncsu.edu/) of 205 inbreed lines. the mass-breeding phase […]

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

[…] pool-hmm were set to be “-n 100 -c 5 -c 400 -q 20 -e sanger -p -k 0.0000000001”, and “--theta” was set to be the θ estimated for each sample., 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 […]

PMCID: 4391575
PMID: 25672748
DOI: 10.1534/genetics.115.175075

[…] estimates, when compared to estimates calculated directly from read counts, can lead to an increase in power, although the magnitude of improvement is condition dependent., 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 […]


To access a full list of publications, you will need to upgrade to our premium service.

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

forqs reviews

star_border star_border star_border star_border star_border
star star star star star

Be the first to review forqs