1 Clinical BCR Biotab

## [1] "clinical_follow_up_v4.0_brca"     "clinical_follow_up_v2.1_brca"    
## [3] "clinical_drug_brca"               "clinical_follow_up_v4.0_nte_brca"
## [5] "clinical_follow_up_v1.5_brca"     "clinical_omf_v4.0_brca"          
## [7] "clinical_radiation_brca"          "clinical_nte_brca"               
## [9] "clinical_patient_brca"

2 Biospecimen BCR Biotab

##  [1] "ssf_tumor_samples_brca"            
##  [2] "biospecimen_analyte_brca"          
##  [3] "biospecimen_portion_brca"          
##  [4] "biospecimen_slide_brca"            
##  [5] "biospecimen_diagnostic_slides_brca"
##  [6] "ssf_normal_controls_brca"          
##  [7] "biospecimen_shipment_portion_brca" 
##  [8] "biospecimen_sample_brca"           
##  [9] "biospecimen_protocol_brca"         
## [10] "biospecimen_aliquot_brca"

3 Session Information

## R version 3.6.1 (2019-07-05)
## Platform: x86_64-pc-linux-gnu (64-bit)
## Running under: Ubuntu 19.04
## 
## Matrix products: default
## BLAS:   /usr/lib/x86_64-linux-gnu/blas/libblas.so.3.8.0
## LAPACK: /usr/lib/x86_64-linux-gnu/lapack/liblapack.so.3.8.0
## 
## 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] TCGAbiolinks_2.13.6
## 
## loaded via a namespace (and not attached):
##   [1] backports_1.1.5             circlize_0.4.8             
##   [3] aroma.light_3.14.0          plyr_1.8.4                 
##   [5] selectr_0.4-1               ConsensusClusterPlus_1.48.0
##   [7] lazyeval_0.2.2              splines_3.6.1              
##   [9] BiocParallel_1.18.1         crosstalk_1.0.0            
##  [11] GenomeInfoDb_1.20.0         ggplot2_3.2.1              
##  [13] sva_3.32.1                  digest_0.6.22              
##  [15] foreach_1.4.7               htmltools_0.4.0            
##  [17] magrittr_1.5                memoise_1.1.0              
##  [19] cluster_2.1.0               doParallel_1.0.15          
##  [21] limma_3.40.6                ComplexHeatmap_2.1.2       
##  [23] Biostrings_2.52.0           readr_1.3.1                
##  [25] annotate_1.62.0             matrixStats_0.55.0         
##  [27] R.utils_2.9.0               prettyunits_1.0.2          
##  [29] colorspace_1.4-1            blob_1.2.0                 
##  [31] rvest_0.3.4                 ggrepel_0.8.1              
##  [33] xfun_0.10                   dplyr_0.8.3                
##  [35] crayon_1.3.4                RCurl_1.95-4.12            
##  [37] jsonlite_1.6                genefilter_1.66.0          
##  [39] zeallot_0.1.0               survival_2.44-1.1          
##  [41] zoo_1.8-6                   iterators_1.0.12           
##  [43] glue_1.3.1                  survminer_0.4.6            
##  [45] gtable_0.3.0.9000           zlibbioc_1.30.0            
##  [47] XVector_0.24.0              GetoptLong_0.1.7           
##  [49] DelayedArray_0.10.0         shape_1.4.4                
##  [51] BiocGenerics_0.30.0         scales_1.0.0               
##  [53] DESeq_1.36.0                DBI_1.0.0                  
##  [55] edgeR_3.26.8                ggthemes_4.2.0             
##  [57] Rcpp_1.0.2                  xtable_1.8-4               
##  [59] progress_1.2.2              clue_0.3-57                
##  [61] bit_1.1-14                  matlab_1.0.2               
##  [63] km.ci_0.5-2                 stats4_3.6.1               
##  [65] DT_0.9                      htmlwidgets_1.5.1          
##  [67] httr_1.4.1                  RColorBrewer_1.1-2         
##  [69] pkgconfig_2.0.3             XML_3.98-1.20              
##  [71] R.methodsS3_1.7.1           locfit_1.5-9.1             
##  [73] tidyselect_0.2.5            rlang_0.4.0                
##  [75] later_1.0.0                 AnnotationDbi_1.46.1       
##  [77] munsell_0.5.0               tools_3.6.1                
##  [79] downloader_0.4              generics_0.0.2             
##  [81] RSQLite_2.1.2               broom_0.5.2                
##  [83] evaluate_0.14               stringr_1.4.0              
##  [85] fastmap_1.0.1               yaml_2.2.0                 
##  [87] knitr_1.25                  bit64_0.9-7                
##  [89] survMisc_0.5.5              purrr_0.3.3                
##  [91] EDASeq_2.18.0               nlme_3.1-141               
##  [93] mime_0.7                    R.oo_1.22.0                
##  [95] xml2_1.2.2                  biomaRt_2.40.5             
##  [97] compiler_3.6.1              curl_4.2                   
##  [99] png_0.1-7                   ggsignif_0.6.0             
## [101] tibble_2.1.3                geneplotter_1.62.0         
## [103] stringi_1.4.3               GenomicFeatures_1.36.4     
## [105] lattice_0.20-38             Matrix_1.2-17              
## [107] KMsurv_0.1-5                vctrs_0.2.0                
## [109] pillar_1.4.2                lifecycle_0.1.0            
## [111] GlobalOptions_0.1.1         data.table_1.12.6          
## [113] bitops_1.0-6                httpuv_1.5.2               
## [115] rtracklayer_1.44.4          GenomicRanges_1.36.1       
## [117] R6_2.4.0                    latticeExtra_0.6-28        
## [119] hwriter_1.3.2               promises_1.1.0             
## [121] ShortRead_1.42.0            gridExtra_2.3              
## [123] IRanges_2.18.3              codetools_0.2-16           
## [125] assertthat_0.2.1            SummarizedExperiment_1.14.1
## [127] rjson_0.2.20                GenomicAlignments_1.20.1   
## [129] Rsamtools_2.0.3             S4Vectors_0.22.1           
## [131] GenomeInfoDbData_1.2.1      mgcv_1.8-29                
## [133] parallel_3.6.1              hms_0.5.1                  
## [135] grid_3.6.1                  tidyr_1.0.0                
## [137] rmarkdown_1.16              ggpubr_0.2.3               
## [139] Biobase_2.44.0              shiny_1.4.0                
## [141] base64enc_0.1-3
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