--- /tmp/rebuilderdxBB54L/inputs/r-bioc-deseq2_1.46.0+dfsg-2_riscv64.deb +++ /tmp/rebuilderdxBB54L/out/r-bioc-deseq2_1.46.0+dfsg-2_riscv64.deb ├── file list │ @@ -1,3 +1,3 @@ │ -rw-r--r-- 0 0 0 4 2025-01-13 07:57:33.000000 debian-binary │ --rw-r--r-- 0 0 0 1988 2025-01-13 07:57:33.000000 control.tar.xz │ +-rw-r--r-- 0 0 0 1920 2025-01-13 07:57:33.000000 control.tar.xz │ -rw-r--r-- 0 0 0 1281488 2025-01-13 07:57:33.000000 data.tar.xz ├── control.tar.xz │ ├── control.tar │ │ ├── file list │ │ │ @@ -1,3 +1,3 @@ │ │ │ drwxr-xr-x 0 root (0) root (0) 0 2025-01-13 07:57:33.000000 ./ │ │ │ --rw-r--r-- 0 root (0) root (0) 1267 2025-01-13 07:57:33.000000 ./control │ │ │ +-rw-r--r-- 0 root (0) root (0) 1079 2025-01-13 07:57:33.000000 ./control │ │ │ -rw-r--r-- 0 root (0) root (0) 2937 2025-01-13 07:57:33.000000 ./md5sums │ │ ├── ./control │ │ │ @@ -1,14 +1,14 @@ │ │ │ Package: r-bioc-deseq2 │ │ │ Version: 1.46.0+dfsg-2 │ │ │ Architecture: riscv64 │ │ │ Maintainer: Debian R Packages Maintainers │ │ │ Installed-Size: 1692 │ │ │ Depends: r-api-4.0, r-api-bioc-3.20, r-bioc-s4vectors (>= 0.23.18), r-bioc-iranges, r-bioc-genomicranges, r-bioc-summarizedexperiment (>= 1.1.6), r-bioc-biocgenerics (>= 0.7.5), r-bioc-biobase, r-bioc-biocparallel, r-cran-matrixstats, r-cran-locfit, r-cran-ggplot2 (>= 3.4.0), r-cran-rcpp (>= 0.11.0), r-bioc-matrixgenerics, r-cran-rcpparmadillo, libblas3 | libblas.so.3, libc6 (>= 2.27), libgcc-s1 (>= 3.0), liblapack3 | liblapack.so.3, libstdc++6 (>= 14) │ │ │ -Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-cran-pheatmap, r-cran-rcolorbrewer, r-bioc-tximport, r-bioc-tximeta, r-bioc-tximportdata, r-cran-readr, r-cran-pbapply, r-bioc-glmgampoi, r-cran-biocmanager │ │ │ +Suggests: r-cran-rcolorbrewer │ │ │ Section: gnu-r │ │ │ Priority: optional │ │ │ Homepage: https://bioconductor.org/packages/DESeq2/ │ │ │ Description: R package for RNA-Seq Differential Expression Analysis │ │ │ Differential gene expression analysis based on the negative binomial │ │ │ distribution. Estimate variance-mean dependence in count data from │ │ │ high-throughput sequencing assays and test for differential expression based