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Trying to re-install packages in R version 4.0 following Bioconductor site instructions to install in R version 4.0, however receiving this warning from R each time i try to re-install the packages R asks me to re-install.
Error: Bioconductor version '3.10' requires R version '3.6'; see
https://bioconductor.org/install
sessionInfo()
R version 4.0.0 (2020-04-24)
Platform: x86_64-w64-mingw32/x64 (64-bit)
Running under: Windows 10 x64 (build 17763)
Matrix products: default
locale:
[1] LC_COLLATE=English_United States.1252
[2] LC_CTYPE=English_United States.1252
[3] LC_MONETARY=English_United States.1252
[4] LC_NUMERIC=C
[5] LC_TIME=English_United States.1252
attached base packages:
[1] stats graphics grDevices utils datasets methods base
loaded via a namespace (and not attached):
[1] BiocManager_1.30.10 compiler_4.0.0 tools_4.0.0
>
Hello, I am having an error with running the command newCountDataSet() using DESeq2. Not sure if this also has to do with R 4.0? Thanks. Cheers
Attaching package: ‘BiocGenerics’
The following objects are masked from ‘package:parallel’:
The following objects are masked from ‘package:stats’:
The following objects are masked from ‘package:base’:
Attaching package: ‘S4Vectors’
The following object is masked from ‘package:base’:
Loading required package: IRanges Loading required package: GenomicRanges Loading required package: GenomeInfoDb Loading required package: SummarizedExperiment Loading required package: Biobase Welcome to Bioconductor
Loading required package: DelayedArray Loading required package: matrixStats
Attaching package: ‘matrixStats’
The following objects are masked from ‘package:Biobase’:
Attaching package: ‘DelayedArray’
The following objects are masked from ‘package:matrixStats’:
The following objects are masked from ‘package:base’:
Matrix products: default BLAS: /System/Library/Frameworks/Accelerate.framework/Versions/A/Frameworks/vecLib.framework/Versions/A/libBLAS.dylib LAPACK: /Library/Frameworks/R.framework/Versions/4.0/Resources/lib/libRlapack.dylib
Random number generation: RNG: Mersenne-Twister Normal: Inversion Sample: Rounding
locale: [1] enAU.UTF-8/enAU.UTF-8/enAU.UTF-8/C/enAU.UTF-8/en_AU.UTF-8
attached base packages: [1] parallel stats4 stats graphics grDevices utils datasets methods base
other attached packages: [1] DESeq21.28.0 SummarizedExperiment1.18.1 DelayedArray0.14.0
[4] matrixStats0.56.0 Biobase2.48.0 GenomicRanges1.40.0
[7] GenomeInfoDb1.24.0 IRanges2.22.1 S4Vectors0.26.0
[10] BiocGenerics0.34.0
loaded via a namespace (and not attached): [1] genefilter1.70.0 locfit1.5-9.4 xfun0.13 splines4.0.0
[5] lattice0.20-41 colorspace1.4-1 vctrs0.2.4 blob1.2.1
[9] survival3.1-12 XML3.99-0.3 rlang0.4.6 pillar1.4.4
[13] glue1.4.0 DBI1.1.0 BiocParallel1.22.0 bit640.9-7
[17] RColorBrewer1.1-2 GenomeInfoDbData1.2.3 lifecycle0.2.0 zlibbioc1.34.0
[21] munsell0.5.0 gtable0.3.0 memoise1.1.0 knitr1.28
[25] geneplotter1.66.0 AnnotationDbi1.50.0 Rcpp1.0.4.6 xtable1.8-4
[29] scales1.1.0 BiocManager1.30.10 annotate1.66.0 XVector0.28.0
[33] bit1.1-15.2 ggplot23.3.0 digest0.6.25 grid4.0.0
[37] tools4.0.0 bitops1.0-6 magrittr1.5 RCurl1.98-1.2
[41] RSQLite2.2.0 tibble3.0.1 crayon1.3.4 pkgconfig2.0.3
[45] ellipsis0.3.0 Matrix1.2-18 rstudioapi0.11 R62.4.1
[49] compiler_4.0.0
AFAIK the
newCountDataSet()
function belongs to DESeq, not DESeq2.Ah right, thank you for pointing that out. Trying to learn from a script that shows loading the DESeq2 library but then apparently may be showing DESeq functions. Cheers