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How to interpretate results? #11
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Hi, can you share the pdf? |
here is the pdf file |
The current result seemed not correct. Can you reset exp_hom = 70, and rerun? You can also share me the histo file, if that is okay. |
Thank you for your reply. Here is exp_hom = 70 results, and the histo file is here, Best, |
The histogram look a bit "weird". Do you know if the species is diploid or polyploid? I am asking because the hist has a peak at 15x, and another at 56x, and the tail of the hist is also with high y-values - repeats or resulting from higher ploidy. To me, it does not look like a diploid, but more likely a tetraploid. I can only tell the full genome size is around 10 Gb. The haploid genome size would be 10 Gb / n, where n is the ploidy which you need to figure out. Another explanation could be, this is mixture of different DNA material - maybe there is contamination in DNA in sequencing. |
Thank you for your help. There are two state of this species, diploid and tetraploid. Smudgeplot and karyotype analysis told me that the sample we are analysis is diploid. May be there is contamination in DNA in sequencing. Here is Smudgeplot results Best, |
Hi, I also wanted to know how to interpret the results and which number is the "real" genome size. Here is the pdf file. Thank you for your help. |
I would not believe in k-mer estimation in ploidy, in this particular case, because the peak at 15x has been considered as errors - I do not know what method is underlying this determination. You can try
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This is a homozygous species, you do not need to sep up exp_hom. The last row gives the haploid genome size. |
Hi, I ran this command on a genome which I don't know the size and the ploidy level : findGSE(histo = "/Users/icesim/Downloads/21mer_no_cut-2.histo", sizek=21, outdir="/Users/icesim/Desktop/findGSE-teleau", exp_hom = 100) Thanks for your help, |
Hi,
it gives haploid genome size estimation.
According to the k-mer coverage pattern, you may want to run it under homozygous mode.
Best,
Hequan
… On 16. Mar 2024, at 18:14, simleopold ***@***.***> wrote:
Hi,
I ran this command on a genome which I don't know the size and the ploidy level : findGSE(histo = "/Users/icesim/Downloads/21mer_no_cut-2.histo", sizek=21, outdir="/Users/icesim/Desktop/findGSE-teleau", exp_hom = 100)
The result expected was around 8mb so does findGSE gives an estimation for the whole genome size or the haploid genome size ?
Thanks for your help,
findGSE.pdf <https://github.com/schneebergerlab/findGSE/files/14623185/findGSE.pdf>
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Thank you for your quick answer, I tried to run it under homozygous mode but I have the following error on R : "Error in singlestart:singleend : NA/NaN argument" Does it mean I have no choice but to run it under heterozygous mode ? |
Can you show me the cmd?
… On 16. Mar 2024, at 19:03, simleopold ***@***.***> wrote:
Thank you for your quick answer,
I tried to run it under homozygous mode but I have the following error on R : "Error in singlestart:singleend : NA/NaN argument"
Does it mean I have no choice but to run it under heterozygous mode ?
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I ran this command : findGSE(histo = "/Users/icesim/Downloads/21mer_no_cut-2.histo", sizek=21, outdir="/Users/icesim/Desktop/findGSE-teleau") |
Hi,
for diploid genome, findGSE(histo="Cfl.histo", sizek=21, outdir="hom_test_21mer62", exp_hom = 62), which following number is haploid genome size?
size_all 2831278311
size_exl 2762932750
size_cat 3063218222
size_fit 2276505453
size_cor2 4239285369
Het_rate 0.00913753 0.00913753
Est. ratio of repeats 0.88225222
Final k-mer cov 36.5624931
Best,
Kun
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