forqs 2015 – Forward-in-time Simulation of Recombination, Quantitative traits, and Selection

forqs 2015

:: DESCRIPTION

forqs is a forward-in-time population genetics simulation that tracks individual haplotype chunks as they recombine each generation. forqs also also models quantitative traits and selection on those traits.

::DEVELOPER

Novembre Lab

:: SCREENSHOTS

N/A

:: REQUIREMENTS

Windows / Linux / MacOsX

:: DOWNLOAD

forqs

:: MORE INFORMATION

Citation

Bioinformatics. 2014 Feb 15;30(4):576-7. doi: 10.1093/bioinformatics/btt712. Epub 2013 Dec 10.
forqs: forward-in-time simulation of recombination, quantitative traits and selection.
Kessner D1, Novembre J.

EPIQ beta – Efficient Detection of SNP-SNP Epistatic Interactions for Quantitative Traits

EPIQ beta

:: DESCRIPTION

EPIQ (EPIstasis detection for Quantitative GWAS) is an efficient tool for detecting SNP-SNP epistatic interactions for quantitative traits.

::DEVELOPER

EPIQ team

:: SCREENSHOTS

N/A

:: REQUIREMENTS

Linux / MacOsX
C++ Compiler

:: DOWNLOAD

EPIQ

:: MORE INFORMATION

Citation

EPIQ-efficient detection of SNP-SNP epistatic interactions for quantitative traits.
Arkin Y, Rahmani E, Kleber ME, Laaksonen R, März W, Halperin E.
Bioinformatics. 2014 Jun 15;30(12):i19-i25. doi: 10.1093/bioinformatics/btu261.

LKM 2.0 / LFKM 2.0 / MFKM 1.1 – Quantitative Traits in Longitudinal ( Multivariate) (Family) Data

LKM 2.0 / LFKM 2.0 / MFKM 1.1

:: DESCRIPTION

LKM / LFKM / MFKM is an R package of gene based kernel machine regression for quantitative traits in longitudinal (Multivariate) (Family) Data.

::DEVELOPER

Qi Yan

:: SCREENSHOTS

N/A

:: REQUIREMENTS

Linux
R

:: DOWNLOAD

LKM / LFKM / MFKM

:: MORE INFORMATION

Citation

Yan Q, Weeks DE, Tiwari HK, Yi N, Zhang K, Gao G, Lin WY, Lou XY, Chen W, Liu N.
Rare-Variant Kernel Machine Test for Longitudinal Data from Population and Family Samples.
Hum Hered. 2015;80(3):126-38. doi: 10.1159/000445057. Epub 2016 Apr 29. PMID: 27161037; PMCID: PMC4940283.

Yan Q, Weeks DE, Celedón JC, Tiwari HK, Li B, Wang X, Lin WY, Lou XY, Gao G, Chen W, Liu N.
Associating Multivariate Quantitative Phenotypes with Genetic Variants in Family Samples with a Novel Kernel Machine Regression Method.
Genetics. 2015 Dec;201(4):1329-39. doi: 10.1534/genetics.115.178590. Epub 2015 Oct 19. PMID: 26482791; PMCID: PMC4676518.