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Hi,
thanks for the great software to discover eQTLs!
I'm currently using tensorQTL to discovert trans-eQTLs for my RNA-seq dataset and corresponding genotypes. After looking into the documentation and source code of tensorQTL, I'm still confused by some questions.
Could you provide a full workflow codes for a typical trans-eQTL discovery?
The README.md of tensorQTL only contains codes for a nominal trans-eQTL mapping but without any descriptions about map_permutations and apply_permutations functions.
Which algorithm does map_permutations use?
Since tensorQTL is a reimplementation of FastQTL, however I didn't find any descriptions about trans-eQTL mapping in the paper of FastQTL. Rather I found a description of permutations in trans-eQTL mapping in the paper of QTLtools. Is that algorithm of QTLtools the same as used in map_permutations function of tensorQTL?
Is it needed to apply tensorqtl.calculate_qvalues for outputs produced by apply_permutations function?
It seems that calculate_qvalues is done in the phenotype-level (as in map_cis) but the outputs of apply_permutations (or specifically map_trans) are phenotype-variant associations. If tensorqtl.calculate_qvalues is not needed here, then how to calculate the FDR of each phenotype and retain the significant trans-associations after multiple testing correction?
Best regards,
Jie Wang
The text was updated successfully, but these errors were encountered:
Hi,
thanks for the great software to discover eQTLs!
I'm currently using tensorQTL to discovert trans-eQTLs for my RNA-seq dataset and corresponding genotypes. After looking into the documentation and source code of tensorQTL, I'm still confused by some questions.
Could you provide a full workflow codes for a typical trans-eQTL discovery?
The README.md of tensorQTL only contains codes for a nominal trans-eQTL mapping but without any descriptions about
map_permutations
andapply_permutations
functions.Which algorithm does
map_permutations
use?Since tensorQTL is a reimplementation of FastQTL, however I didn't find any descriptions about trans-eQTL mapping in the paper of FastQTL. Rather I found a description of permutations in trans-eQTL mapping in the paper of QTLtools. Is that algorithm of QTLtools the same as used in
map_permutations
function of tensorQTL?Is it needed to apply
tensorqtl.calculate_qvalues
for outputs produced byapply_permutations
function?It seems that
calculate_qvalues
is done in the phenotype-level (as inmap_cis
) but the outputs ofapply_permutations
(or specificallymap_trans
) are phenotype-variant associations. Iftensorqtl.calculate_qvalues
is not needed here, then how to calculate the FDR of each phenotype and retain the significant trans-associations after multiple testing correction?Best regards,
Jie Wang
The text was updated successfully, but these errors were encountered: