<div dir="auto">Yes.It is there<div dir="auto"><br></div><div dir="auto">Best wishes</div></div><div class="gmail_extra"><br><div class="gmail_quote">On 11 Oct 2017 2:17 pm, "Thibaut Jombart" <<a href="mailto:thibautjombart@gmail.com">thibautjombart@gmail.com</a>> wrote:<br type="attribution"><blockquote class="gmail_quote" style="margin:0 0 0 .8ex;border-left:1px #ccc solid;padding-left:1ex"><div dir="auto">Have you tried to open the file manually to check if the population information was indeed there in the third column?<div dir="auto"><br></div><div dir="auto">Best</div><div dir="auto">Thibaut</div></div><div class="gmail_extra"><br><div class="gmail_quote">On 11 Oct 2017 12:13, "Davide Piffer" <<a href="mailto:pifferdavide@gmail.com" target="_blank">pifferdavide@gmail.com</a>> wrote:<br type="attribution"><blockquote class="gmail_quote" style="margin:0 0 0 .8ex;border-left:1px #ccc solid;padding-left:1ex"><div dir="ltr">Hi,<div><br></div><div>I tried using different columns for the population. The Readme file lists these but none actually works. I am not sure if the problem is with the file or with the function because I am not an expert.</div><div><pre style="color:rgb(0,0,0);word-wrap:break-word;white-space:pre-wrap">Columns for individual data (HGDP/India/Africa individuals):
1. HGDP ID number or HapMap NA number
2. numeric code for population
3. name of population
4. country of origin</pre><pre style="color:rgb(0,0,0);word-wrap:break-word;white-space:pre-wrap"><br></pre></div></div><div class="gmail_extra"><br><div class="gmail_quote">On 11 October 2017 at 11:53, Thibaut Jombart <span dir="ltr"><<a href="mailto:thibautjombart@gmail.com" target="_blank">thibautjombart@gmail.com</a>></span> wrote:<br><blockquote class="gmail_quote" style="margin:0 0 0 .8ex;border-left:1px #ccc solid;padding-left:1ex">Hi there,<br>
<br>
reading populations info hasn't been a problem before (I think) in<br>
read.structure. I would double-check which column it is, though I<br>
assume you have. If you think there is a problem with the function<br>
please post an issue on github with a reproducible example and we'll<br>
try to sort it out.<br>
<span class="m_-6939945456495058703m_7779197745735392272im m_-6939945456495058703m_7779197745735392272HOEnZb"><br>
Best<br>
Thibaut<br>
<br>
--<br>
Dr Thibaut Jombart<br>
Lecturer, Department of Infectious Disease Epidemiology, Imperial College London<br>
Head of RECON: <a href="http://repidemicsconsortium.org" rel="noreferrer" target="_blank">repidemicsconsortium.org</a><br>
WHO Consultant - outbreak analysis<br>
<a href="http://sites.google.com/site/thibautjombart/" rel="noreferrer" target="_blank">sites.google.com/site/thibautj<wbr>ombart/</a><br>
Twitter: @TeebzR<br>
<a href="tel:%2B44%280%2920%207594%203658" value="+442075943658" target="_blank">+44(0)20 7594 3658</a><br>
<br>
<br>
</span><div class="m_-6939945456495058703m_7779197745735392272HOEnZb"><div class="m_-6939945456495058703m_7779197745735392272h5">On 6 October 2017 at 12:08, Davide Piffer <<a href="mailto:pifferdavide@gmail.com" target="_blank">pifferdavide@gmail.com</a>> wrote:<br>
> Ok, I think have found the file I need here:<br>
> <a href="https://rosenberglab.stanford.edu/data/huangEtAl2011/HuangEtAl_2011-GenetEpi.zip" rel="noreferrer" target="_blank">https://rosenberglab.stanford.<wbr>edu/data/huangEtAl2011/HuangEt<wbr>Al_2011-GenetEpi.zip</a><br>
> . However, it's in .str format. Following the instructions on the manual, I<br>
> tried to assign correct labels based on the Readme file<br>
> (<a href="https://rosenberglab.stanford.edu/data/huangEtAl2011/huangEtAl2011snpdata_readme" rel="noreferrer" target="_blank">https://rosenberglab.stanford<wbr>.edu/data/huangEtAl2011/huangE<wbr>tAl2011snpdata_readme</a>)<br>
><br>
> Mydata=read.structure("unphase<wbr>d_HGDP+India+Africa_2810SNPs-r<wbr>egions1to36.stru",<br>
> onerowperind = FALSE,col.lab = 8,col.pop = 2,row.marknames = 1,n.ind = 1107,<br>
> n.loc = 2810, ask = FALSE)#convert into genind<br>
> Mydata_pop=genind2genpop(Mydat<wbr>a)#convert into genpop<br>
><br>
> However, I get a file with only 1 population.<br>
><br>
> head(Mydata_pop)<br>
> /// GENPOP OBJECT /////////<br>
><br>
> // 1 population; 2,810 loci; 7,217 alleles; size: 1.5 Mb<br>
><br>
> // Basic content<br>
> @tab: 1 x 7217 matrix of allele counts<br>
> @loc.n.all: number of alleles per locus (range: 2-4)<br>
> @loc.fac: locus factor for the 7217 columns of @tab<br>
> @all.names: list of allele names for each locus<br>
> @ploidy: ploidy of each individual (range: 2-2)<br>
> @type: codom<br>
> @call: .local(x = x, i = i, j = j, drop = dro<br>
><br>
> This is obviously wrong since there are 50+ populations.<br>
><br>
> I tried changing col.pop from 2 to 3 but got the same output.<br>
><br>
> Am I missing something?<br>
><br>
><br>
> All the best,<br>
> Davide<br>
><br>
><br>
><br>
> On 6 October 2017 at 11:35, Thibaut Jombart <<a href="mailto:thibautjombart@gmail.com" target="_blank">thibautjombart@gmail.com</a>><br>
> wrote:<br>
>><br>
>> Hi again,<br>
>><br>
>> OK I think I got it. So:<br>
>> - I can't remember how I built the eHGDP dataset, but it's an easy task<br>
>> - I don't know if the data you're looking for is publicly available<br>
>> - assuming you find it, there are two ways to get a genpop object:<br>
>> #1: from individual data with pop info: read data in (read.csv /<br>
>> read.table), use df2genind (be patient there, that'll take a while),<br>
>> then genind2genpop<br>
>><br>
>> #2: from population data (allele counts): read data in (read.csv /<br>
>> read.table), use the genpop() constructor to make the data a genpop<br>
>> object; I think this is documented in the basics tutorial, but<br>
>> definitely also in ?genpop<br>
>><br>
>> HTH<br>
>> Best<br>
>> Thibaut<br>
>><br>
>> --<br>
>> Dr Thibaut Jombart<br>
>> Lecturer, Department of Infectious Disease Epidemiology, Imperial College<br>
>> London<br>
>> Head of RECON: <a href="http://repidemicsconsortium.org" rel="noreferrer" target="_blank">repidemicsconsortium.org</a><br>
>> WHO Consultant - outbreak analysis<br>
>> <a href="http://sites.google.com/site/thibautjombart/" rel="noreferrer" target="_blank">sites.google.com/site/thibautj<wbr>ombart/</a><br>
>> Twitter: @TeebzR<br>
>> <a href="tel:%2B44%280%2920%207594%203658" value="+442075943658" target="_blank">+44(0)20 7594 3658</a><br>
>><br>
>><br>
>> On 6 October 2017 at 10:24, Davide Piffer <<a href="mailto:pifferdavide@gmail.com" target="_blank">pifferdavide@gmail.com</a>> wrote:<br>
>> > Dear Thibaut,<br>
>> ><br>
>> > thanks for answering my question. I will try to reformulate my question<br>
>> > differently, stating the assumptions:<br>
>> > 1) I assume that the eHGDP object was made into a genpop object from<br>
>> > some<br>
>> > raw .txt file, like the HGDP file I linked to in the previous email.<br>
>> > 2) I need an object that looks exactly like the eHGDP object, but with<br>
>> > SNPs<br>
>> > instead of microsatellite alleles.<br>
>> > 3) Since it's gonna be a rather complex task, I asked if any of you<br>
>> > knows if<br>
>> > someone has already done this job before and published it (e.g. as<br>
>> > supplementary file).<br>
>> > 4) Otherwise, I would like to know how to produce such a file myself,<br>
>> > starting from a version of the HGDP file with population information. If<br>
>> > this was done for microsatellites, surely it can be done for the SNPs as<br>
>> > well? I assume they rely on the same raw HGDP file.<br>
>> ><br>
>> > Many thanks!<br>
>> ><br>
>> > Davide<br>
>> ><br>
>> > On 6 October 2017 at 10:56, Thibaut Jombart <<a href="mailto:thibautjombart@gmail.com" target="_blank">thibautjombart@gmail.com</a>><br>
>> > wrote:<br>
>> >><br>
>> >> Hi Davide,<br>
>> >><br>
>> >> I am not entirely sure what you need, so sorry if I miss the point.<br>
>> >> adegenet cannot make up for absent population information, but you can<br>
>> >> try to identify clusters of course, e.g. using find.clusters.<br>
>> >><br>
>> >> eHGDP is not a file (at least not in the sense you probably mean), but<br>
>> >> a genind object. If the question is how you can get a file looking<br>
>> >> like the one you link into a genind object, you probably want to use<br>
>> >> something like read.csv and then df2genind. Imports should be detailed<br>
>> >> in the basics tutorial:<br>
>> >> <a href="https://github.com/thibautjombart/adegenet/wiki/Tutorials" rel="noreferrer" target="_blank">https://github.com/thibautjomb<wbr>art/adegenet/wiki/Tutorials</a><br>
>> >><br>
>> >> Best<br>
>> >> Thibaut<br>
>> >><br>
>> >> --<br>
>> >> Dr Thibaut Jombart<br>
>> >> Lecturer, Department of Infectious Disease Epidemiology, Imperial<br>
>> >> College<br>
>> >> London<br>
>> >> Head of RECON: <a href="http://repidemicsconsortium.org" rel="noreferrer" target="_blank">repidemicsconsortium.org</a><br>
>> >> WHO Consultant - outbreak analysis<br>
>> >> <a href="http://sites.google.com/site/thibautjombart/" rel="noreferrer" target="_blank">sites.google.com/site/thibautj<wbr>ombart/</a><br>
>> >> Twitter: @TeebzR<br>
>> >> <a href="tel:%2B44%280%2920%207594%203658" value="+442075943658" target="_blank">+44(0)20 7594 3658</a><br>
>> >><br>
>> >><br>
>> >> On 4 October 2017 at 14:08, Davide Piffer <<a href="mailto:pifferdavide@gmail.com" target="_blank">pifferdavide@gmail.com</a>><br>
>> >> wrote:<br>
>> >> > Hello,<br>
>> >> ><br>
>> >> > I am new to Adegenet. I would like to retrieve population frequencies<br>
>> >> > of<br>
>> >> > SNPs (using rsID) from the HGDP file "HGDP_FinalReport_Forward.txt" :<br>
>> >> > <a href="http://www.hagsc.org/hgdp/files.html" rel="noreferrer" target="_blank">http://www.hagsc.org/hgdp/file<wbr>s.html</a><br>
>> >> ><br>
>> >> > However, the file lacks population information. It contains SNPs x<br>
>> >> > individuals.<br>
>> >> > I need a file structured like the eHGDP (except with SNPs and not<br>
>> >> > microsatellite data) file provided with the package, that can be<br>
>> >> > easily<br>
>> >> > converted into genpop file and then compute the frequencies via<br>
>> >> > makefreq.<br>
>> >> > Do you know if there is any such file downloadable on the internet?<br>
>> >> > i guess there must be a way to produce such a file using ADEGENET<br>
>> >> > starting<br>
>> >> > from raw data. but my knowledge of this package is not advanced<br>
>> >> > enough<br>
>> >> > yet.<br>
>> >> ><br>
>> >> > Best wishes,<br>
>> >> ><br>
>> >> > Davide<br>
>> >> ><br>
>> >> > ______________________________<wbr>_________________<br>
>> >> > adegenet-forum mailing list<br>
>> >> > <a href="mailto:adegenet-forum@lists.r-forge.r-project.org" target="_blank">adegenet-forum@lists.r-forge.r<wbr>-project.org</a><br>
>> >> ><br>
>> >> ><br>
>> >> > <a href="https://lists.r-forge.r-project.org/cgi-bin/mailman/listinfo/adegenet-forum" rel="noreferrer" target="_blank">https://lists.r-forge.r-projec<wbr>t.org/cgi-bin/mailman/listinfo<wbr>/adegenet-forum</a><br>
>> ><br>
>> ><br>
><br>
><br>
</div></div></blockquote></div><br></div>
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