Last updated: 2019-04-21
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Knit directory: apaQTL/analysis/
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File | Version | Author | Date | Message |
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Rmd | be90ded | brimittleman | 2019-04-21 | fix to 5perc phenp |
html | 28bd046 | brimittleman | 2019-04-18 | Build site. |
Rmd | 017f5c0 | brimittleman | 2019-04-18 | add map apa qtl pipeline |
In this analysis I will call apaQTls in both fractions. I will start with the phenotype files and normalized the counts using the leafcutter package in order to run the fastq QTL mapper.
It is best to run this analysis in the data/phenotype_5perc directory. I have copied the leafcutter prepare_phenotype_table.py to the code directroy to use here.
#!/bin/bash
module load python
gzip APApeak_Phenotype_GeneLocAnno.Total.5perc.fc
gzip APApeak_Phenotype_GeneLocAnno.Nuclear.5perc.fc
python ../../code/prepare_phenotype_table.py APApeak_Phenotype_GeneLocAnno.Total.5perc.fc.gz
python ../../code/prepare_phenotype_table.py APApeak_Phenotype_GeneLocAnno.Nuclear.5perc.fc.gz
This will output bash scripts to run.
module load Anaconda3
source activate three-prime-env
sh APApeak_Phenotype_GeneLocAnno.Nuclear.5perc.fc.gz_prepare.sh
sh APApeak_Phenotype_GeneLocAnno.Total.5perc.fc.gz_prepare.sh
Subset the PCs to use the first 2 in the qtl calling:
module load Anaconda3
source activate three-prime-env
head -n 3 APApeak_Phenotype_GeneLocAnno.Nuclear.5perc.fc.gz.PCs > APApeak_Phenotype_GeneLocAnno.Nuclear.5perc.fc.gz.2PCs
head -n 3 APApeak_Phenotype_GeneLocAnno.Total.5perc.fc.gz.PCs > APApeak_Phenotype_GeneLocAnno.Total.5perc.fc.gz.2PCs
Next I will need to make a sample list. From the code directory:
python makeSampleList.py
remove 19092 and 19193
Prepare directroy
mkdir ../data/apaQTLNominal
mkdir ../data/apaQTLPermuted
Run the code to call QTLs within 1mb of each PAS peak. I run both a nominal pass and a permuted pas. The permulted pas chosses the best snp for each peak gene pair.
sbatch apaQTL_Nominal.sh
sbatch apaQTL_permuted.sh
Concatinate all of the results in the permuted set. I do this so I can account for multiple testing with the benjamini hochberg test.
Concatinate
Rscripts apaQTLCorrectPvalMakeQQ.R
sessionInfo()
R version 3.5.1 (2018-07-02)
Platform: x86_64-apple-darwin15.6.0 (64-bit)
Running under: macOS 10.14.1
Matrix products: default
BLAS: /Library/Frameworks/R.framework/Versions/3.5/Resources/lib/libRblas.0.dylib
LAPACK: /Library/Frameworks/R.framework/Versions/3.5/Resources/lib/libRlapack.dylib
locale:
[1] en_US.UTF-8/en_US.UTF-8/en_US.UTF-8/C/en_US.UTF-8/en_US.UTF-8
attached base packages:
[1] stats graphics grDevices utils datasets methods base
loaded via a namespace (and not attached):
[1] workflowr_1.2.0 Rcpp_1.0.0 digest_0.6.18 rprojroot_1.3-2
[5] backports_1.1.3 git2r_0.24.0 magrittr_1.5 evaluate_0.13
[9] stringi_1.3.1 fs_1.2.6 whisker_0.3-2 rmarkdown_1.11
[13] tools_3.5.1 stringr_1.4.0 glue_1.3.0 xfun_0.5
[17] yaml_2.2.0 compiler_3.5.1 htmltools_0.3.6 knitr_1.21