Last updated: 2020-12-21

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Knit directory: Comparative_APA/analysis/

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Note that any generated files, e.g. HTML, png, CSS, etc., are not included in this status report because it is ok for generated content to have uncommitted changes.


These are the previous versions of the repository in which changes were made to the R Markdown (analysis/phylopRegElements.Rmd) and HTML (docs/phylopRegElements.html) files. If you’ve configured a remote Git repository (see ?wflow_git_remote), click on the hyperlinks in the table below to view the files as they were in that past version.

File Version Author Date Message
Rmd 2cfbc6d brimittleman 2020-12-21 add phylop reg element analysis

library(workflowr)
This is workflowr version 1.6.2
Run ?workflowr for help getting started
library(cowplot)

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library(tidyverse)
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✓ ggplot2 3.2.1     ✓ purrr   0.3.4
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x dplyr::filter() masks stats::filter()
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I will download regulatory elements and compare them to the PAS regions. I will run this for phylop20 and phlylop100

/project2/gilad/briana/Comparative_APA/data/RegElements

Download from table browser:

  • refseq elements
  • sno and miRNAs


python extractPhylopGeneral_20way.py   ../data/RegElements/hg38_RefSeqElements.bed ../data/RegElements/hg38_RefSeqElements.phyloP20.txt

python extractPhylopGeneral_20way.py  ../data/RegElements/hg38_snomiRNA.bed ../data/RegElements/hg38_snomiRNAphyloP20.txt 



python extractPhylopGeneral.py   ../data/RegElements/hg38_RefSeqElements.bed ../data/RegElements/hg38_RefSeqElements.phyloP100.txt

python extractPhylopGeneral.py  ../data/RegElements/hg38_snomiRNA.bed ../data/RegElements/hg38_snomiRNAphyloP100.txt 
PAS_20=read.table("../data/PhyloP/PAS_Phylop20.txt", col.names = c("chr","start","end","PAS", "phyloP20"), stringsAsFactors = F) %>% drop_na() %>% mutate(element="PAS") %>% select(element,phyloP20)

PAS_100=read.table("../data/PhyloP/PAS_phyloP.txt", col.names = c("chr","start","end", "phyloP100"), stringsAsFactors = F) %>% drop_na()  %>%  mutate(element="PAS") %>% select(element,phyloP100)

Reg elements:

Reg_20= read.table("../data/RegElements/hg38_RefSeqElements.phyloP20.txt", col.names = c('chr', 'start', 'end', 'element', 'phyloP20' ), header = F, stringsAsFactors = F) %>% drop_na()%>% select(element, phyloP20)

RNAs_20=read.table("../data/RegElements/hg38_snomiRNAphyloP20.txt", col.names = c('chr', 'start', 'end', 'elementName', 'phyloP20' ), header = F, stringsAsFactors = F)%>% mutate(element="smallRNA") %>% drop_na()%>% select(element, phyloP20)

Reg_100= read.table("../data/RegElements/hg38_RefSeqElements.phyloP100.txt", col.names = c('chr', 'start', 'end', 'element', 'phyloP100' ), header = F, stringsAsFactors = F) %>% drop_na()%>% select(element, phyloP100)

RNAs_100=read.table("../data/RegElements/hg38_snomiRNAphyloP100.txt", col.names = c('chr', 'start', 'end', 'element_name', 'phyloP100' ), header = F, stringsAsFactors = F) %>% mutate(element="smallRNA") %>% drop_na() %>% select(element, phyloP100)

Look at the elements in the reg and decide which to include:

elementcount=Reg_20 %>% group_by(element) %>% summarise(nele=n()) %>% arrange(desc(nele))

regs_use=c("conserved_region", "enhancer", "CpG_island", "promoter", "silencer", "repeat_instability_region")

Will include: conserved_region, enhancer,CpG_island, promoter, silencer, repeat_instability_region

Reg_20_sm=Reg_20 %>% filter(element %in% regs_use)
Reg_100_sm=Reg_100 %>% filter(element %in% regs_use)


RegandRNA_20=Reg_20_sm %>% bind_rows(RNAs_20) %>% bind_rows(PAS_20) %>% mutate(fillcol=ifelse(element=="PAS", "yes", "no"))

RegandRNA_100=Reg_100_sm %>% bind_rows(RNAs_100) %>% bind_rows(PAS_100)%>% mutate(fillcol=ifelse(element=="PAS", "yes", "no"))

Plot:

phylop20plot=ggplot(RegandRNA_20, aes(x=element, y=phyloP20,fill=fillcol)) + geom_boxplot() + theme_classic() + labs(title="Regulatory element conservation", y="PhyloP 20 ways", x="")+ theme(axis.text.x = element_text(angle = 90), legend.position ="none")+ scale_fill_brewer(palette = "RdYlBu")
phylop20plot

phylop100plot= ggplot(RegandRNA_100, aes(x=element, y=phyloP100,fill=fillcol)) + geom_boxplot() + theme_classic() + labs(title="Regulatory element conservation", y="PhyloP 100 ways", x="")+ theme(axis.text.x = element_text(angle = 90), legend.position ="none")+ scale_fill_brewer(palette = "RdYlBu")
phylop100plot

both_together=plot_grid(phylop20plot,phylop100plot, nrow = 2)
both_together


sessionInfo()
R version 3.6.1 (2019-07-05)
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     

other attached packages:
 [1] forcats_0.4.0   stringr_1.4.0   dplyr_0.8.3     purrr_0.3.4    
 [5] readr_1.3.1     tidyr_1.1.0     tibble_2.1.3    ggplot2_3.2.1  
 [9] tidyverse_1.3.0 cowplot_1.0.0   workflowr_1.6.2

loaded via a namespace (and not attached):
 [1] tidyselect_1.1.0   xfun_0.8           haven_2.3.1       
 [4] lattice_0.20-38    colorspace_1.4-1   generics_0.0.2    
 [7] vctrs_0.3.0        htmltools_0.3.6    yaml_2.2.0        
[10] rlang_0.4.6        later_0.8.0        pillar_1.4.2      
[13] withr_2.1.2        glue_1.3.1         DBI_1.1.0         
[16] RColorBrewer_1.1-2 dbplyr_1.4.2       modelr_0.1.8      
[19] readxl_1.3.1       lifecycle_0.1.0    cellranger_1.1.0  
[22] munsell_0.5.0      gtable_0.3.0       rvest_0.3.5       
[25] evaluate_0.14      labeling_0.3       knitr_1.23        
[28] httpuv_1.5.1       fansi_0.4.0        broom_0.5.2       
[31] Rcpp_1.0.5         promises_1.0.1     scales_1.1.0      
[34] backports_1.1.4    jsonlite_1.6       farver_2.0.1      
[37] fs_1.3.1           hms_0.5.3          digest_0.6.20     
[40] stringi_1.4.3      grid_3.6.1         rprojroot_1.3-2   
[43] cli_2.2.0          tools_3.6.1        magrittr_1.5      
[46] lazyeval_0.2.2     crayon_1.3.4       whisker_0.3-2     
[49] pkgconfig_2.0.2    ellipsis_0.2.0.1   xml2_1.3.2        
[52] reprex_0.3.0       lubridate_1.7.4    rstudioapi_0.10   
[55] assertthat_0.2.1   rmarkdown_1.13     httr_1.4.1        
[58] R6_2.4.0           nlme_3.1-140       git2r_0.26.1      
[61] compiler_3.6.1