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The plot I'm mostly using is between the rsquare accuracy and the MAF of the variants see tutorial.
The genotype concordance is also really usefull, using the error.grp.txt file and it can be separated by all variants, only SNP or InDels.
Most interesting data for the General Stats table
The tables error.spl.txt and rsquare.spl.txt gives useful statistics for all individuals.
Before submitting
I have included example data (zipped, not pasted) that can be used to write the module.
The text was updated successfully, but these errors were encountered:
Name of the tool
Glimpse_concordance
Tool homepage
https://odelaneau.github.io/GLIMPSE/
Tool description
Glimpse is a set of tools to phase and impute genetic variants.
Tool output
NA12878_D1_P1000GP.s.norel_Rchr21_16570000-16610000.rsquare.grp.txt
NA12878_D1_P1000GP.s.norel_Rchr21_16570000-16610000.error.spl.txt
NA12878_D1_P1000GP.s.norel_Rchr21_16570000-16610000.error.grp.txt
NA12878_D1_P1000GP.s.norel_Rchr21_16570000-16610000.rsquare.spl.txt
NA12878_D1_P1000GP.s.norel_Rchr21_16570000-16610000.error.cal.txt
NA12878_D1_P1000GP.s.norel_Rchr22_16570000-16610000_r2_sites.txt
Log filename pattern
*(.(error|rsquare).(spl|grp|cal))|(_r2_sites).txt
Data suitable for MultiQC plot(s)
The plot I'm mostly using is between the rsquare accuracy and the MAF of the variants see tutorial.
The genotype concordance is also really usefull, using the error.grp.txt file and it can be separated by all variants, only SNP or InDels.
Most interesting data for the General Stats table
The tables error.spl.txt and rsquare.spl.txt gives useful statistics for all individuals.
Before submitting
The text was updated successfully, but these errors were encountered: