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Dear All,
I am trying to run Eigensoft's SMARTPCA module for my PCA analysis on world-wide populations of 1000 G together with my own samples. However, when i run SMARTPCA with remove outlier options, it removes some samples from 1000G populations and from my data set.
So, I run the SMARTPCA again (without outlier removal option) while ignoring the some of the outlier individuals in the "*.ind" file. as:
HG04239 M SAS
NA06984 M ???
NA06985 F ???
NA06986 M ???
NA10847 F CEU
NA10851 M CEU
NA11829 M CEU
NA11830 F CEU
But the E-values still calculated in the resultant output files for the individuals marked. Can anyone kindly guide me how to format the "ind" file to ignore some individuals from subset of populations?
Thank you very much!
--sohail
The text was updated successfully, but these errors were encountered:
The population label should be "Ignore" (no quotes)
Also convertf with such a label will strip out such individuals.
In addition, if you specify the populations that you want to use
to make axes, (poplistname:) the ??? individuals will appear in the
evec file but this seems likely to be completely harmless.
Dear All,
I am trying to run Eigensoft's SMARTPCA module for my PCA analysis on
world-wide populations of 1000 G together with my own samples. However,
when i run SMARTPCA with remove outlier options, it removes some samples
from 1000G populations and from my data set.
So, I run the SMARTPCA again (without outlier removal option) while
ignoring the some of the outlier individuals in the "*.ind" file. as:
HG04239 M SAS
NA06984 M ???
NA06985 F ???
NA06986 M ???
NA10847 F CEU
NA10851 M CEU
NA11829 M CEU
NA11830 F CEU
But the E-values still calculated in the resultant output files for the
individuals marked. Can anyone kindly guide me how to format the "ind" file
to ignore some individuals from subset of populations?
Dear All,
I am trying to run Eigensoft's SMARTPCA module for my PCA analysis on world-wide populations of 1000 G together with my own samples. However, when i run SMARTPCA with remove outlier options, it removes some samples from 1000G populations and from my data set.
So, I run the SMARTPCA again (without outlier removal option) while ignoring the some of the outlier individuals in the "*.ind" file. as:
HG04239 M SAS
NA06984 M ???
NA06985 F ???
NA06986 M ???
NA10847 F CEU
NA10851 M CEU
NA11829 M CEU
NA11830 F CEU
But the E-values still calculated in the resultant output files for the individuals marked. Can anyone kindly guide me how to format the "ind" file to ignore some individuals from subset of populations?
Thank you very much!
--sohail
The text was updated successfully, but these errors were encountered: