SpaceMix – Understanding Population Structure and Admixture

SpaceMix

:: DESCRIPTION

SpaceMix is a method for inferring and visualizing spatial patterns of population genetic structure and admixture.

::DEVELOPER

the Bradburd Lab

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Windows / Linux / MacOS
  • R package

:: DOWNLOAD

SpaceMix

:: MORE INFORMATION

Citation

Bradburd GS, Ralph PL, Coop GM.
A Spatial Framework for Understanding Population Structure and Admixture.
PLoS Genet. 2016 Jan 15;12(1):e1005703. doi: 10.1371/journal.pgen.1005703. PMID: 26771578; PMCID: PMC4714911.

PoPS 1.2 – Predictions of Population Structure

PoPS 1.2

:: DESCRIPTION

The POPS program performs inference of ancestry distribution models. It uses a TESS-like interface to compute individual cluster membership and admixture proportions based on multilocus genotype data and their correlation with environmental and geographical variables.

::DEVELOPER

the Computational and Mathematical Biology group in Grenoble

:: SCREENSHOTS

PoPS

:: REQUIREMENTS

  • MacOsX / Windows/ Linux

:: DOWNLOAD

 POPS 

:: MORE INFORMATION

Citation

F. Jay, O. François, M. Blum (2011)
Predictions of Native American Population Structure Using Linguistic Covariates in a Hidden Regression Framework.
PLoS ONE 6(1): e16227

AdmixKJump v2 – Identifying Population Structure in recently Diverged Groups

AdmixKJump v2

:: DESCRIPTION

AdmixKJump detects the number of populations in a cohort of samples with smaller sample sizes and shorter divergence times.

::DEVELOPER

O’Connor Evolutionary Genomics Lab

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Linux / Windows / MacOsX
  • Java

:: DOWNLOAD

 AdmixKJump

:: MORE INFORMATION

Citation

AdmixKJump: identifying population structure in recently diverged groups.
O’Connor TD.
Source Code Biol Med. 2015 Feb 3;10(1):2. doi: 10.1186/s13029-014-0031-1.

SHIPS 1.1 – Spectral Hierarchical clustering for the Inference of Population Structure

SHIPS 1.1

:: DESCRIPTION

SHIPS is a non-parametric clustering algorithm that clusters individuals from a population into genetically homogeneous sub-populations from genotype data.

::DEVELOPER

Matthieu Bouaziz <matthieu.x.bouaziz@gmail.com>

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Linux/ Windows/MacOsX
  • R package

:: DOWNLOAD

  SHIPS

:: MORE INFORMATION

Citation

PLoS One. 2012;7(10):e45685. doi: 10.1371/journal.pone.0045685. Epub 2012 Oct 12.
SHIPS: Spectral Hierarchical clustering for the Inference of Population Structure in genetic studies.
Bouaziz M, Paccard C, Guedj M, Ambroise C.

sNMF 2.0 – Inference of Population Structure using Sparse Non-negative Matrix Factorization algorithms

sNMF 2.0

:: DESCRIPTION

sNMF (Sparse Non-negative Matrix Factorization) is a fast and efficient method for the inference of Admixture Coefficients.

::DEVELOPER

Eric Frichot

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • MacOsX / Linux

:: DOWNLOAD

 sNMF

:: MORE INFORMATION

Citation

Genetics. 2014 Apr;196(4):973-83. doi: 10.1534/genetics.113.160572. Epub 2014 Feb 4.
Fast and efficient estimation of individual ancestry coefficients.
Frichot E1, Mathieu F, Trouillon T, Bouchard G, François O.

fastStructure 1.0 – Inferring Population Structure from SNP Genotype data

fastStructure 1.0

:: DESCRIPTION

fastStructure is an algorithm for inferring population structure from large SNP genotype data.

::DEVELOPER

Pritchard Lab

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Windows / Linux / Mac OsX
  • Python
  • Numpy
  • Scipy
  • Cython
  • GNU Scientific Library

:: DOWNLOAD

 fastStructure

:: MORE INFORMATION

Citation

fastSTRUCTURE: variational inference of population structure in large SNP data sets.
Raj A, Stephens M, Pritchard JK.
Genetics. 2014 Jun;197(2):573-89. doi: 10.1534/genetics.114.164350

Structure 2.3.4 – Use Multi-locus Genotype Data to Investigate Population Structure

Structure 2.3.4

:: DESCRIPTION

Structure is a free software package for using multi-locus genotype data to investigate population structure. Its uses include inferring the presence of distinct populations, assigning individuals to populations, studying hybrid zones, identifying migrants and admixed individuals, and estimating population allele frequencies in situations where many individuals are migrants or admixed. It can be applied to most of the commonly-used genetic markers, including SNPS, microsatellites, RFLPs and AFLPs.

::DEVELOPER

Pritchard Lab

:: SCREENSHOTS

:: REQUIREMENTS

  • Windows / Linux / Mac OsX
  • Java

:: DOWNLOAD

 Structure

:: MORE INFORMATION

Citation:

Daniel Falush, Matthew Stephens, and Jonathan K. Pritchard
Inference of Population Structure Using Multilocus Genotype Data: Linked Loci and Correlated Allele Frequencies
Genetics, Vol. 164, 1567-1587,

distruct 1.1 – Graphical Display of Population Structure

distruct 1.1

:: DESCRIPTION

distruct is a program that can be used to graphically display results produced by the genetic clustering program structure or by other similar programs.

::DEVELOPER

Rosenberg lab at Stanford University

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Windows / Linux / MacOsX

:: DOWNLOAD

  distruct

:: MORE INFORMATION

Citation

Noah A. Rosenberg
DISTRUCT: a program for the graphical display of population structure
Molecular Ecology Notes (2004) 4, 137–138

popkin 1.3.8 – Estimate Kinship and FST under Arbitrary Population Structure

popkin 1.3.8

:: DESCRIPTION

The popkin (population kinship) R package estimates the kinship matrix of individuals and FST from their biallelic genotypes. Our estimation framework is the first to be practically unbiased under arbitrary population structures.

::DEVELOPER

The Ochoa Lab 

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Linux/ MacOsX / Windows
  • R

:: DOWNLOAD

popkin

:: MORE INFORMATION

Citation

Ochoa, Alejandro, and John D. Storey. 2016b.
FST And Kinship for Arbitrary Population Structures II: Method of Moments Estimators.
bioRxiv doi:10.1101/083923.

LMM-Lasso – Lasso Multi-Marker Mixed Model for Association Mapping with Population Structure Correction

LMM-Lasso

:: DESCRIPTION

LMM-Lasso is a linear mixed models that allows for both multi-locus mapping and correction for confounding effects.

::DEVELOPER

Machine Learning and Computational Biology Research Group

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Linux / Windows/ MacOsX
  • Python

:: DOWNLOAD

 LMM-Lasso

:: MORE INFORMATION

Citation

Bioinformatics. 2013 Jan 15;29(2):206-14. doi: 10.1093/bioinformatics/bts669.
A Lasso multi-marker mixed model for association mapping with population structure correction.
Rakitsch B, Lippert C, Stegle O, Borgwardt K.