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Hi team, I have some questions on the "get_control_x_intensities()" method.
It returns a numpy array with a length of 23. What are these 23 numbers standing for? We can always see the control types and their values on GenomeStudio's control dashboard, such as DNP (High) | DNP (Bgnd) | Biotin (High) | Biotin (Bgnd) | Extension (A) | Extension (T) and so on.
Dose x_intensity stand for red channel values and y_intensity for green?
MethylationEpic Array has more control types than other genotyping arrays, dose it mean that it'll return a 23+ length of numpy array when apply get_control_x_intensities() to methylation array gtcs? If yes, could you specify their corresponding control types?
Are these return values the same as what we can see in GenomeStudio's control dashboard?
See below what I pulled out from 1 MethylationEpic gtc, Thanks in advance!
from IlluminaBeadArrayFiles import GenotypeCalls, BeadPoolManifest, code2genotype
import sys
gtc_file=r"C:\202309880087_R01C02.gtc"
GenotypeCalls(gtc_file).get_control_x_intensities()
Hi @plusmid, sorry for the late response. Can you contact [email protected] about these questions if you haven't done so? I don't know enough about the methylation GTCs to give satisfactory answers to all your questions.
I am parsing a GTC generated with the lastest iaap-cli based on manifest GSA-24v3-0_A1.bpm.
I'm also not clear on how to relate the output of get_control_y_intensities() to the manifest bead probes (manifest.control_config), could one assume they are in the same order?
Hi team, I have some questions on the "get_control_x_intensities()" method.
See below what I pulled out from 1 MethylationEpic gtc, Thanks in advance!
from IlluminaBeadArrayFiles import GenotypeCalls, BeadPoolManifest, code2genotype
import sys
gtc_file=r"C:\202309880087_R01C02.gtc"
GenotypeCalls(gtc_file).get_control_x_intensities()
GenotypeCalls(gtc_file).get_control_y_intensities()
len(GenotypeCalls(gtc_file).get_control_y_intensities())
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