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Old 07-17-2014, 07:03 AM   #41
Location: Brazil

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Originally Posted by arcolombo698 View Post
@ Clarissa

normally with CGH experiments you are comparing a tumor sample with a non-tumor sample. my data has a germline sample and also a tumor sample. the germline is used as a reference. So you should have two samples to compare.

Thanks for the response.
In my experiment I have 2 different chickens lines - broiler x layer. But I have individual samples from broilers and layers. Should I combine all my broilers and layers? But I want to check in each sample (chicken). I have 10 broilers and 10 layers. I dont have a control sample. So maybe I need a control from another chicken line? I am not sure because in my experiment I detect SNPs using a reference from NCBI (chicken reference genome).
Any suggestions?
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Old Yesterday, 04:06 PM   #42
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I am not a CGH expert by any means whatsoever. From my experiments, the germline samples are the controls, which are tumor free. The tumor samples have tumors, and we are measuring the variation between the two.

My best advice, is to go onto PubMed and find experiments similar to you. It depends on your experiment design and hypothesis. I am under the impression that the reference is the control. I am also not an expert with chicken experiments, I have only worked on hg19, and mm10 for NBL, and Medullo.

if you use the layer as the reference, the CNV data that will be output is in relation to the broiler changes with respect to layer. This just depends on your experiment design.
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Old Yesterday, 04:59 PM   #43
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thank you for the response. What does the CNV argument mean? and what does the glim argument mean? is the glim the limits on the p.value column in the data frame for data?

From the manual...

plot.cnv.chr <- function (data, chromosome = NA,
from = NA, to = NA, title = NA,
ylim = c(-4, 4), glim = c(NA, NA),
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