GenomicDataStream runs analyses across multiple cores in
parallel using Threading Building Blocks in oneTBB. This is
available in R using RcppParallel.
This package usually installs without an issue, but if it fails you can
use the package after modifying the paths:
## R version 4.6.1 (2026-06-24)
## Platform: x86_64-pc-linux-gnu
## Running under: Ubuntu 26.04.1 LTS
##
## Matrix products: default
## BLAS: /usr/lib/x86_64-linux-gnu/openblas-pthread/libblas.so.3
## LAPACK: /usr/lib/x86_64-linux-gnu/openblas-pthread/libopenblasp-r0.3.32.so; LAPACK version 3.12.0
##
## locale:
## [1] LC_CTYPE=en_US.UTF-8 LC_NUMERIC=C LC_TIME=en_US.UTF-8
## [4] LC_COLLATE=en_US.UTF-8 LC_MONETARY=en_US.UTF-8 LC_MESSAGES=en_US.UTF-8
## [7] LC_PAPER=en_US.UTF-8 LC_NAME=C LC_ADDRESS=C
## [10] LC_TELEPHONE=C LC_MEASUREMENT=en_US.UTF-8 LC_IDENTIFICATION=C
##
## time zone: Etc/UTC
## tzcode source: system (glibc)
##
## attached base packages:
## [1] stats graphics grDevices utils datasets methods base
##
## other attached packages:
## [1] rmarkdown_2.32
##
## loaded via a namespace (and not attached):
## [1] digest_0.6.39 R6_2.6.1 codetools_0.2-20 fastmap_1.2.0 xfun_0.61
## [6] maketools_1.3.2 cachem_1.1.0 knitr_1.52 htmltools_0.5.9 buildtools_1.0.0
## [11] lifecycle_1.0.5 cli_3.6.6 sass_0.4.10 jquerylib_0.1.4 compiler_4.6.1
## [16] sys_3.4.3 tools_4.6.1 evaluate_1.0.5 bslib_0.12.0 yaml_2.3.12
## [21] jsonlite_2.0.0 rlang_1.3.0
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