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valeu avatar valeu commented on September 2, 2024

Hi,
-Inf should be log(0). These must be segments where FREEC predicts copy number of zero.

By visualization, I meant to visualize the results as .png to visually evaluate the amount of noise after the normalization and the quality of FREEC's CNA calls.

from freec.

ZYongQi avatar ZYongQi commented on September 2, 2024

Hi,
I have a rough idea of your advice.I should visualize ratio.txt to remove the noise and outlier.Later I'll take care of it.

Our research is drawing to a close.We reviewed all the steps and collated them.I am currently working on the first draft of my article.As I review the FREEC, I have a few questions.

  1. 0 means Zero copies of DNA in this region predited in _CNVs file. And 0 always corresponds to a loss according to my output.But how to explain it? 0 fragment is lossing from this region? Or too much 0 means noise,and I should filter them, as you
    adviced before?

Part of my _CNVs file:
NC_048218.1 68935104 69748872 1 loss
NC_048218.1 72301368 72327936 0 loss
NC_048218.1 89715216 89736864 0 loss
NC_048218.1 94680480 94689336 7 gain
NC_048218.1 98317344 98352768 1 loss
NC_048218.1 98685360 98714880 0 loss
NC_048218.1 100452624 100478208 0 loss
NC_048218.1 109823256 109882296 0 loss
NC_048218.1 115849272 116669928 3 gain
NC_048218.1 130496112 130513824 0 loss

  1. The CNVs FEEEC predicted show two types: loss and gain. I wonder if FREEC writes the normal region into the output -- the copy number does not change compared to the reference genome. If 0 means no change ,why does "loss" appears?

Wish your reply!

from freec.

ZYongQi avatar ZYongQi commented on September 2, 2024

Hi, I have a rough idea of your advice.I should visualize ratio.txt to remove the noise and outlier.Later I'll take care of it.

Our research is drawing to a close.We reviewed all the steps and collated them.I am currently working on the first draft of my article.As I review the FREEC, I have a few questions.

  1. 0 means Zero copies of DNA in this region predited in _CNVs file. And 0 always corresponds to a loss according to my output.But how to explain it? 0 fragment is lossing from this region? Or too much 0 means noise,and I should filter them, as you
    adviced before?

Part of my _CNVs file: NC_048218.1 68935104 69748872 1 loss NC_048218.1 72301368 72327936 0 loss NC_048218.1 89715216 89736864 0 loss NC_048218.1 94680480 94689336 7 gain NC_048218.1 98317344 98352768 1 loss NC_048218.1 98685360 98714880 0 loss NC_048218.1 100452624 100478208 0 loss NC_048218.1 109823256 109882296 0 loss NC_048218.1 115849272 116669928 3 gain NC_048218.1 130496112 130513824 0 loss

  1. The CNVs FEEEC predicted show two types: loss and gain. I wonder if FREEC writes the normal region into the output -- the copy number does not change compared to the reference genome. If 0 means no change ,why does "loss" appears?

Wish your reply!

Hi,
I 'm sorry to trouble you. I found that I forgot a truth -- there are 2 chromosomes.

And I missed the meaning of CN. I misunderstood it to the number of copy number region. I always tried to understand CN as how many losses or gains there are. But in reality the two are not equal.

So the anwser is 0 and 1 both represent loss. And CN=2 represents the normal fragments ,which FREEC writes in the ratio.txt.

Thanks to this review, I have to make some adjustments to my research.Best wishes!

from freec.

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