Last updated: 2019-02-14

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  • Environment: empty

    Great job! The global environment was empty. Objects defined in the global environment can affect the analysis in your R Markdown file in unknown ways. For reproduciblity it’s best to always run the code in an empty environment.

  • Seed: set.seed(20181119)

    The command set.seed(20181119) was run prior to running the code in the R Markdown file. Setting a seed ensures that any results that rely on randomness, e.g. subsampling or permutations, are reproducible.

  • Session information: recorded

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  • Repository version: fcaa341

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        Ignored:    .Rproj.user/
    
    Untracked files:
        Untracked:  analysis/enrichment.Rmd
        Untracked:  data/SNP_200000.txt
        Untracked:  data/SNP_50000.txt
        Untracked:  data/SNP_500000.txt
    
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        Modified:   .gitignore
        Modified:   analysis/index.Rmd
    
    
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Get cis genes for each targted locus

module load mysql
mysql --user=genome --host=genome-mysql.cse.ucsc.edu -A -D hg19 -e '
select
 K.name2,
 K.name,
 S.name,
 S.avHet,
 S.chrom,
 S.chromStart,
 K.txStart,
 K.txEnd
from snp150 as S
left join refGene as K on
 (S.chrom=K.chrom and not(K.txEnd+50000<S.chromStart or S.chromEnd+50000<K.txStart))
where
 S.name in ("rs7148456","rs12895055","rs7170068","rs520843","rs12716973","rs2192932","rs17200916","rs1198588","rs324017","rs4151680","rs301791","rs324015","rs9882911","rs11633075","rs2027349","rs186132169","rs9661794","rs7936858","rs3861678","rs10933","rs6071578")' > /project2/xinhe/simingz/CROP-seq/cropseq/data/SNP_50000.txt

Enrichment by Fisher’s test

SNPfile <- "/project2/xinhe/simingz/CROP-seq/scRNA_seq_SNP_list.txt"
SNPs <- read.table(SNPfile, header=F, stringsAsFactors = F)
cisgene <- read.table("data/SNP_50000.txt", stringsAsFactors = F,sep="\t", header=T)

Session information

sessionInfo()
R version 3.5.1 (2018-07-02)
Platform: x86_64-pc-linux-gnu (64-bit)
Running under: Scientific Linux 7.4 (Nitrogen)

Matrix products: default
BLAS/LAPACK: /software/openblas-0.2.19-el7-x86_64/lib/libopenblas_haswellp-r0.2.19.so

locale:
 [1] LC_CTYPE=en_US.UTF-8       LC_NUMERIC=C              
 [3] LC_TIME=en_US.UTF-8        LC_COLLATE=en_US.UTF-8    
 [5] LC_MONETARY=en_US.UTF-8    LC_MESSAGES=en_US.UTF-8   
 [7] LC_PAPER=en_US.UTF-8       LC_NAME=C                 
 [9] LC_ADDRESS=C               LC_TELEPHONE=C            
[11] LC_MEASUREMENT=en_US.UTF-8 LC_IDENTIFICATION=C       

attached base packages:
[1] stats     graphics  grDevices utils     datasets  methods   base     

loaded via a namespace (and not attached):
 [1] workflowr_1.1.1   Rcpp_1.0.0        digest_0.6.18    
 [4] rprojroot_1.3-2   R.methodsS3_1.7.1 backports_1.1.2  
 [7] git2r_0.23.0      magrittr_1.5      evaluate_0.12    
[10] stringi_1.2.4     whisker_0.3-2     R.oo_1.22.0      
[13] R.utils_2.7.0     rmarkdown_1.10    tools_3.5.1      
[16] stringr_1.3.1     yaml_2.2.0        compiler_3.5.1   
[19] htmltools_0.3.6   knitr_1.20       

This reproducible R Markdown analysis was created with workflowr 1.1.1