Last updated: 2021-08-26

Checks: 7 0

Knit directory: IITA_2021GS/

This reproducible R Markdown analysis was created with workflowr (version 1.6.2). The Checks tab describes the reproducibility checks that were applied when the results were created. The Past versions tab lists the development history.


Great! Since the R Markdown file has been committed to the Git repository, you know the exact version of the code that produced these results.

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.

The command set.seed(20210504) 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.

Great job! Recording the operating system, R version, and package versions is critical for reproducibility.

Nice! There were no cached chunks for this analysis, so you can be confident that you successfully produced the results during this run.

Great job! Using relative paths to the files within your workflowr project makes it easier to run your code on other machines.

Great! You are using Git for version control. Tracking code development and connecting the code version to the results is critical for reproducibility.

The results in this page were generated with repository version c2c7dae. See the Past versions tab to see a history of the changes made to the R Markdown and HTML files.

Note that you need to be careful to ensure that all relevant files for the analysis have been committed to Git prior to generating the results (you can use wflow_publish or wflow_git_commit). workflowr only checks the R Markdown file, but you know if there are other scripts or data files that it depends on. Below is the status of the Git repository when the results were generated:


Ignored files:
    Ignored:    .DS_Store
    Ignored:    .Rhistory
    Ignored:    .Rproj.user/
    Ignored:    analysis/.DS_Store
    Ignored:    code/.DS_Store
    Ignored:    data/.DS_Store

Untracked files:
    Untracked:  data/DatabaseDownload_2021Aug08/
    Untracked:  data/DatabaseDownload_2021May04/
    Untracked:  data/GBSdataMasterList_31818.csv
    Untracked:  data/IITA_GBStoPhenoMaster_33018.csv
    Untracked:  data/NRCRI_GBStoPhenoMaster_40318.csv
    Untracked:  data/PedigreeGeneticGainCycleTime_aafolabi_01122020.xls
    Untracked:  data/Report-DCas21-6038/
    Untracked:  data/blups_forGP.rds
    Untracked:  data/chr1_RefPanelAndGSprogeny_ReadyForGP_72719.fam
    Untracked:  data/dosages_IITA_2021Aug09.rds
    Untracked:  data/haps_IITA_2021Aug09.rds
    Untracked:  data/recombFreqMat_1minus2c_2021Aug02.qs
    Untracked:  output/

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/convertDCas21_6038_ToVCF.Rmd) and HTML (docs/convertDCas21_6038_ToVCF.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
html 19c3a38 wolfemd 2021-08-19 Build site.
html 1c03315 wolfemd 2021-08-11 Build site.
html a3150ab wolfemd 2021-08-09 Build site.
Rmd 6f2057f wolfemd 2021-08-09 Publish project. Imputation completed. Run and complete ‘cleanTPdata’ step.

screen; 
cd ~/IITA_2021GS/;  
R;

Input Parameters

devtools::install_github("wolfemd/genomicMateSelectR", ref = 'master') 
library(tidyverse); library(magrittr); 
library(genomicMateSelectR)

dartvcfInput<-here::here("data/Report-DCas21-6038","Report_6038_VCF_Ref_Version6.txt")
dartcountsInput<-here::here("data/Report-DCas21-6038","Report_6038_Counts_Ref_Version6.csv")
outName<-here::here("data/Report-DCas21-6038","DCas21_6038")
nskipvcf<-2; nskipcounts<-3; ncores<-20

Prelim. check format

Manual check that the files read in corretly.

vcf<-read.table(dartvcfInput,
                stringsAsFactors = F,skip = nskipvcf, header = T, sep = "\t", comment.char = "")
readCounts<-read.csv(dartcountsInput, stringsAsFactors = F,header = T,skip=nskipcounts)

dim(vcf)
# [1] 13603  1485
dim(readCounts)
# [1] 27206  1519
# 
# # Initial look at names....
colnames(readCounts)[1:100]
 #  [1] "AlleleID"                    "CloneID"                    
 #  [3] "ClusterTempIndex"            "AlleleSequence"             
 #  [5] "TrimmedSequence"             "TrimmedSequence_plus_Strand"
 #  [7] "Short"                       "Lowcomplexity"              
 #  [9] "Chrom_Cassava_v61"           "ChromPos_Cassava_v61"       
 # [11] "SNP_ChromPos_Cassava_v61"    "AlnCnt_Cassava_v61"         
 # [13] "AlnEvalue_Cassava_v61"       "Strand_Cassava_v61"         
 # [15] "SeqDiff_Cassava_v61"         "ClusterConsensusSequence"   
 # [17] "ClusterSize"                 "AlleleSeqDist"              
 # [19] "SNP"                         "SnpPosition"                
 # [21] "CallRate"                    "OneRatioRef"                
 # [23] "OneRatioSnp"                 "FreqHomRef"                 
 # [25] "FreqHomSnp"                  "FreqHets"                   
 # [27] "PICRef"                      "PICSnp"                     
 # [29] "AvgPIC"                      "AvgCountRef"                
 # [31] "AvgCountSnp"                 "RatioAvgCountRefAvgCountSnp"
 # [33] "FreqHetsMinusFreqMinHom"     "AlleleCountsCorrelation"    
 # [35] "aggregateTagsTotal"          "DerivedCorrMinusSeedCorr"   
 # [37] "RepRef"                      "RepSNP"                     
 # [39] "RepAvg"                      "PicRepRef"                  
 # [41] "PicRepSNP"                   "TotalPicRepRefTest"         
 # [43] "TotalPicRepSnpTest"          "TMS20F1286P0032_A35051"     
 # [45] "IITA.TMS.IBA090454_A35123"   "TMS20F1583P0053_A35131"     
 # [47] "TMS20F1048P0026_A35138"      "TMS20F1286P0007_A35059"     
 # [49] "TMS20F1677P0003_A35067"      "TMS20F1679P0035_A35075"     
 # [51] "TMS20F1613P0027_A35083"      "TMS20F1286P0017_A35091"     
 # [53] "IITA.TMS.IBA090091_A35099"   "TMS20F1621P0005_A35107"     
 # [55] "TMS20F1621P0001_A35115"      "TMS20F1613P0022_A35052"     
 # [57] "TMS20F1679P0037_A35124"      "TMS20F1589P0087_A35132"     
 # [59] "TMS20F1048P0031_A35139"      "TMS20F1582P0024_A35060"     
 # [61] "TMS20F1589P0070_A35068"      "IITA.TMS.IBA051632_A35076"  
 # [63] "TMS20F1613P0032_A35084"      "TMS20F1590P0055_A35092" 

colnames(vcf)[1:30]
#  [1] "X.CHROM"                   "POS"                      
#  [3] "ID"                        "REF"                      
#  [5] "ALT"                       "QUAL"                     
#  [7] "FILTER"                    "INFO"                     
#  [9] "FORMAT"                    "TMS20F1286P0032_A35051"   
# [11] "IITA.TMS.IBA090454_A35123" "TMS20F1583P0053_A35131"   
# [13] "TMS20F1048P0026_A35138"    "TMS20F1286P0007_A35059"   
# [15] "TMS20F1677P0003_A35067"    "TMS20F1679P0035_A35075"   
# [17] "TMS20F1613P0027_A35083"    "TMS20F1286P0017_A35091"   
# [19] "IITA.TMS.IBA090091_A35099" "TMS20F1621P0005_A35107"   
# [21] "TMS20F1621P0001_A35115"    "TMS20F1613P0022_A35052"   
# [23] "TMS20F1679P0037_A35124"    "TMS20F1589P0087_A35132"   
# [25] "TMS20F1048P0031_A35139"    "TMS20F1582P0024_A35060"   
# [27] "TMS20F1589P0070_A35068"    "IITA.TMS.IBA051632_A35076"
# [29] "TMS20F1613P0032_A35084"    "TMS20F1590P0055_A35092" 

# rm(vcf,readCounts); gc()

Run conversion function

genomicMateSelectR::convertDart2vcf(dartvcfInput,dartcountsInput,outName,
                                    nskipvcf=2,nskipcounts=3,ncores)
# VCF written successfully

# However, see warnings for future function dev.
# 5: The `path` argument of `write_lines()` is deprecated as of readr 1.4.0.
# Please use the `file` argument instead.
# This warning is displayed once every 8 hours.
# Call `lifecycle::last_warnings()` to see where this warning was generated.
# 6: In write.table(tmp, paste0(outName, ".vcf"), append = T, sep = "\t",  :
#   appending column names to file

Genomewide to per-chrom VCFs

Split the genome-wide VCF into per-chromosome VCFs for imputation.

require(furrr); plan(multisession, workers = 18)
options(future.globals.maxSize=+Inf); options(future.rng.onMisuse="ignore")
  
vcfIn<-here::here("data/Report-DCas21-6038","DCas21_6038.vcf.gz")
filters<-"--minDP 4 --maxDP 50" # because using GT not PL for impute (Beagle5)
outPath<-here::here("data/Report-DCas21-6038/")
outSuffix<-"DCas21_6038"

future_map(1:18,
           ~genomicMateSelectR::splitVCFbyChr(Chr=.,
                                              vcfIn=vcfIn,filters=filters,
                                              outPath=outPath,
                                              outSuffix=outSuffix))
plan(sequential)

Next step

  1. Impute DCas21-6038: with West Africa reference panel merged with additional GS progeny (IITA TMS18)

sessionInfo()
R version 4.1.0 (2021-05-18)
Platform: x86_64-apple-darwin17.0 (64-bit)
Running under: macOS Big Sur 10.16

Matrix products: default
BLAS:   /Library/Frameworks/R.framework/Versions/4.1/Resources/lib/libRblas.dylib
LAPACK: /Library/Frameworks/R.framework/Versions/4.1/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     

other attached packages:
[1] workflowr_1.6.2

loaded via a namespace (and not attached):
 [1] Rcpp_1.0.7        whisker_0.4       knitr_1.33        magrittr_2.0.1   
 [5] R6_2.5.0          rlang_0.4.11      fansi_0.5.0       stringr_1.4.0    
 [9] tools_4.1.0       xfun_0.25         utf8_1.2.2        git2r_0.28.0     
[13] jquerylib_0.1.4   htmltools_0.5.1.1 ellipsis_0.3.2    rprojroot_2.0.2  
[17] yaml_2.2.1        digest_0.6.27     tibble_3.1.3      lifecycle_1.0.0  
[21] crayon_1.4.1      later_1.2.0       sass_0.4.0        vctrs_0.3.8      
[25] promises_1.2.0.1  fs_1.5.0          glue_1.4.2        evaluate_0.14    
[29] rmarkdown_2.10    stringi_1.7.3     bslib_0.2.5.1     compiler_4.1.0   
[33] pillar_1.6.2      jsonlite_1.7.2    httpuv_1.6.1      pkgconfig_2.0.3