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This will contain the program called NGSadmix, which is a very nice tool for finding admixture. It is based on genotype likelihoods or genotype probabilities.
NGSadmix is a tool for estimating individual admixture proportions from NGS data. It is based on genotype likelihoods and works well for medium and low coverage NGS data.  
It is a fancy multithreaded c/c++ program
It is a fancy multithreaded c/c++ program which makes it useful for large datasets.


=Installation=
The strengths of NGSadmix is that it takes the uncertainty introduced in NGS sequencing data into account when inferring an individual's ancestry by using genotype likelihoods that considers the uncertainty caused by unobserved genotypes.
 
As with the other existing software, ADMIXTURE and STRUCTURE, NGSadmix can detect admixture recent enough to cause structure in the population in terms of differing allele frequencies. Historical admixture events after which many generations has passed in the population, leaves no signature in terms of systematic differences in allele frequencies between individuals.
 
 
[[File:NgsAdmix.png|thumb]]
 
The method was published in 2013 and can be found here: [http://www.ncbi.nlm.nih.gov/pubmed/24026093]
 
 
 
==Download and Installation==
 
NGSadmix can be installed independently or as a part of ANGSD.
 
====NGSadmix Independent Installation====
 
1. Login to your server using ssh on your terminal window.
 
2. Create the directory where you will install your software and enter it, such as
:<code>mkdir ~/Software</code>
:<code>cd ~/Software</code>
 
3. Download the source code:
:<code>wget https://raw.githubusercontent.com/ANGSD/angsd/master/misc/ngsadmix32.cpp </code>
 
4. Configure, Compile and Install:
:<code>g++ ngsadmix32.cpp -O3 -lpthread -lz -o NGSadmix</code>
 
====NGSadmix Installation from ANGSD====
 
:NGSadmix is part of the package ANGSD. To install ANGSD, please follow the instructions here [http://popgen.dk/angsd/index.php/Installation]
 
 
 
====Older versions====
The previous versions of NGSadmix can be found here: [http://popgen.dk/software/download/NGSadmix/].
The first stable version of NGSadmix is ngsadmix32 from June 25., 2013
:Version Log:
:* v32 june 25-2013; modified code such that it now compiles on OSX
:* v31 june 24-2013; First public version.
 
==Quick start==
:<code> ./NGSadmix -likes inputBeagleFile.gz -K 3 -o outFileName -P 10  </code>
 
* '''-likes''' beagle file of genotype likelihoods
* '''-K''' number of clusters
* '''-o''' prefix of output file names
* '''-P''' Number of threads used
 
==Parameters==
 
All parameters are set using '''-par value'''.
For example, to get additional information, you would write '''-printInfo 1'''.
 
<pre>./NGSadmix  </pre>
 
Arguments:
 
::'''-likes''' .beagle format filename with genotype likelihoods
 
::'''-K''' Number of ancestral populations
 
Optional:
 
::'''-fname''' Ancestral population frequencies
 
::'''-qname''' Admixture proportions
 
::'''-outfiles''' Prefix for output files
 
::'''-printInfo''' print ID and mean maximum allele frequency (maf) for the SNPs that were analysed
 
Setup:
 
::'''-seed''' Seed for initial guess in EM algorithm (a number lower than 1M is preferred).
::The same seed can be used to reproduce the analysis, and 3 different seeds can be used to test convergence.
 
::'''-P''' Number of threads
 
::'''-method''' 0 indicates no acceleration of EM algorithm. Please refer to the paper for more information.
 
::'''-misTol''' Tolerance for considering a site as missing. Default = 0.05.
::To include high quality genotypes only, increase this value (for example, 0.9)
 
Stop criteria:
 
::'''-tolLike50''' Loglikelihood difference in 50 iterations. Default= 0.1
 
::'''-tol''' Tolerance for convergence. Default = 1x10<sup>-5</sup>. Use maller values for higher accuracy.
::It's the maximum squared difference of F and Q (please refer to the paper for formula).
 
::'''-dymBound''' Use dymamic boundaries (1: yes (default) 0: no).
 
 
::'''-maxiter''' Maximum number of EM iterations. Default = 2000 (high value).
::In case it doesn't converge, this value needs to be higher.
 
Filtering:
 
::'''-minMaf''' Minimum minor allele frequency. Default = 5%
 
::'''-minLrt''' Minimum likelihood ratio value for maf>0. Default = 0
 
::'''-minInd''' Minumum number of informative individuals. Default = 0
::It only keeps sites where there is at least x # of individuals with NGS data.
 
==Input File==
 
The input file contains genotype likelihoods in a .beagle file format [http://faculty.washington.edu/browning/beagle/beagle.html].
and can be compressed with gzip.
=== BAM files  ===
If you have BAM files you can use [[ANGSD]] to produce genotype likelihoods in .beagle format. Please
see [http://www.popgen.dk/angsd/index.php/Beagle_input Creation of Beagle files with ANGSD]
 
=== VCF files ===
If you already have made a VCF file that contains genotype likehood information then  it should be possible to convert .vcf files with genotype likelihoods to .beagle file via vcftools [https://vcftools.github.io/man_latest.html]


<pre>
<pre>
wget popgen.dk/software/NGSadmix/ngsadmix32.cpp
vcftools --vcf input.vcf --out test --BEAGLE-GL --chr 1,2
g++ ngsadmix32.cpp -O3 -lpthread -lz -o NGSadmix
</pre>
</pre>
Chromosome has to be specified.
You can also use bcftools' [https://samtools.github.io/bcftools/bcftools.html] 'query' option for generating a .beagle file from a .vcf file.
==Output Files==
The analysis performed by NGSadmix produces 4 files:
* Log likelihood of the estimates: a .log file that summarizes the run. The Command line used for running the program, what the likelihood is every 50 iterations, and finally how long it took to do the run.
* Estimated allele frequency: a zipped .fopt file, that contains an estimate of the allele frequency in each of the 3 assumed ancestral populations. There is a line for each locus.
* Estimated admixture proportions: a .qopt file, that contains an estimate of the individual's ancestry proportion (admixture) from each of the three assumed ancestral populations for all individuals. There is a line for each individual.
==Run command example==
Download the input file
::<code>wget popgen.dk/software/download/NGSadmix/data/input.gz</code>
Execute NGSadmix
::<code>./NGSadmix -likes input.gz -K 3 -P 4 -o myoutfiles -minMaf 0.05</code>
::Input file = input.gz
::Ancestral Populations K=3
::Computer cores = 4 (-P 4).
::Output prefix = myoutfiles (-o myoutfiles)
::SNPs with MAF > 5%  (-minMaf 0.05)
===Detailed Examples and Tutorial===
Please refer to the tutorial's page [http://www.popgen.dk/software/index.php/NgsAdmixTutorial]
==Citation==


=Input Files=
http://www.genetics.org/content/early/2013/09/03/genetics.113.154138.full.pdf
The current input files are the widely used beagle inputfiles, or beagle imputed outputfiles. We recommend [[www.popgen.dk/angsd ANGSD]]


Skotte, L., Korneliussen, T. S., & Albrechtsen, A. (2013). Estimating individual admixture proportions from next generation sequencing data. Genetics, 195(3), 693–702. doi:10.1534/genetics.113.154138


=log=
:<u>'''Bibtex'''</u>
* v32 june 25-2013; modified code such that it now compiles on OSX
:% 24026093
* v31 june 24-2013; First public version.
:@Article{pmid24026093,
:  Author="Skotte, L.  and Korneliussen, T. S.  and Albrechtsen, A. ",
:  Title="{{E}stimating {I}ndividual {A}dmixture {P}roportions from {N}ext {G}eneration {S}equencing {D}ata}",
:  Journal="Genetics",
:  Year="2013",
:  Pages=" ",
:  Month="Sep"
:}

Latest revision as of 14:09, 23 July 2019

NGSadmix is a tool for estimating individual admixture proportions from NGS data. It is based on genotype likelihoods and works well for medium and low coverage NGS data. It is a fancy multithreaded c/c++ program which makes it useful for large datasets.

The strengths of NGSadmix is that it takes the uncertainty introduced in NGS sequencing data into account when inferring an individual's ancestry by using genotype likelihoods that considers the uncertainty caused by unobserved genotypes.

As with the other existing software, ADMIXTURE and STRUCTURE, NGSadmix can detect admixture recent enough to cause structure in the population in terms of differing allele frequencies. Historical admixture events after which many generations has passed in the population, leaves no signature in terms of systematic differences in allele frequencies between individuals.


The method was published in 2013 and can be found here: [1]


Download and Installation

NGSadmix can be installed independently or as a part of ANGSD.

NGSadmix Independent Installation

1. Login to your server using ssh on your terminal window.

2. Create the directory where you will install your software and enter it, such as

mkdir ~/Software
cd ~/Software

3. Download the source code:

wget https://raw.githubusercontent.com/ANGSD/angsd/master/misc/ngsadmix32.cpp

4. Configure, Compile and Install:

g++ ngsadmix32.cpp -O3 -lpthread -lz -o NGSadmix

NGSadmix Installation from ANGSD

NGSadmix is part of the package ANGSD. To install ANGSD, please follow the instructions here [2]


Older versions

The previous versions of NGSadmix can be found here: [3]. The first stable version of NGSadmix is ngsadmix32 from June 25., 2013

Version Log:
  • v32 june 25-2013; modified code such that it now compiles on OSX
  • v31 june 24-2013; First public version.

Quick start

./NGSadmix -likes inputBeagleFile.gz -K 3 -o outFileName -P 10
  • -likes beagle file of genotype likelihoods
  • -K number of clusters
  • -o prefix of output file names
  • -P Number of threads used

Parameters

All parameters are set using -par value. For example, to get additional information, you would write -printInfo 1.

./NGSadmix  

Arguments:

-likes .beagle format filename with genotype likelihoods
-K Number of ancestral populations

Optional:

-fname Ancestral population frequencies
-qname Admixture proportions
-outfiles Prefix for output files
-printInfo print ID and mean maximum allele frequency (maf) for the SNPs that were analysed

Setup:

-seed Seed for initial guess in EM algorithm (a number lower than 1M is preferred).
The same seed can be used to reproduce the analysis, and 3 different seeds can be used to test convergence.
-P Number of threads
-method 0 indicates no acceleration of EM algorithm. Please refer to the paper for more information.
-misTol Tolerance for considering a site as missing. Default = 0.05.
To include high quality genotypes only, increase this value (for example, 0.9)

Stop criteria:

-tolLike50 Loglikelihood difference in 50 iterations. Default= 0.1
-tol Tolerance for convergence. Default = 1x10-5. Use maller values for higher accuracy.
It's the maximum squared difference of F and Q (please refer to the paper for formula).
-dymBound Use dymamic boundaries (1: yes (default) 0: no).


-maxiter Maximum number of EM iterations. Default = 2000 (high value).
In case it doesn't converge, this value needs to be higher.

Filtering:

-minMaf Minimum minor allele frequency. Default = 5%
-minLrt Minimum likelihood ratio value for maf>0. Default = 0
-minInd Minumum number of informative individuals. Default = 0
It only keeps sites where there is at least x # of individuals with NGS data.

Input File

The input file contains genotype likelihoods in a .beagle file format [4]. and can be compressed with gzip.

BAM files

If you have BAM files you can use ANGSD to produce genotype likelihoods in .beagle format. Please see Creation of Beagle files with ANGSD

VCF files

If you already have made a VCF file that contains genotype likehood information then it should be possible to convert .vcf files with genotype likelihoods to .beagle file via vcftools [5]

vcftools --vcf input.vcf --out test --BEAGLE-GL --chr 1,2

Chromosome has to be specified.

You can also use bcftools' [6] 'query' option for generating a .beagle file from a .vcf file.

Output Files

The analysis performed by NGSadmix produces 4 files:

  • Log likelihood of the estimates: a .log file that summarizes the run. The Command line used for running the program, what the likelihood is every 50 iterations, and finally how long it took to do the run.
  • Estimated allele frequency: a zipped .fopt file, that contains an estimate of the allele frequency in each of the 3 assumed ancestral populations. There is a line for each locus.
  • Estimated admixture proportions: a .qopt file, that contains an estimate of the individual's ancestry proportion (admixture) from each of the three assumed ancestral populations for all individuals. There is a line for each individual.

Run command example

Download the input file

wget popgen.dk/software/download/NGSadmix/data/input.gz

Execute NGSadmix

./NGSadmix -likes input.gz -K 3 -P 4 -o myoutfiles -minMaf 0.05
Input file = input.gz
Ancestral Populations K=3
Computer cores = 4 (-P 4).
Output prefix = myoutfiles (-o myoutfiles)
SNPs with MAF > 5% (-minMaf 0.05)

Detailed Examples and Tutorial

Please refer to the tutorial's page [7]

Citation

http://www.genetics.org/content/early/2013/09/03/genetics.113.154138.full.pdf

Skotte, L., Korneliussen, T. S., & Albrechtsen, A. (2013). Estimating individual admixture proportions from next generation sequencing data. Genetics, 195(3), 693–702. doi:10.1534/genetics.113.154138

Bibtex
% 24026093
@Article{pmid24026093,
Author="Skotte, L. and Korneliussen, T. S. and Albrechtsen, A. ",
Title="{{E}stimating {I}ndividual {A}dmixture {P}roportions from {N}ext {G}eneration {S}equencing {D}ata}",
Journal="Genetics",
Year="2013",
Pages=" ",
Month="Sep"
}