--- /tmp/r-bioc-singler-1.4.1+ds-1edlhes1s/debian/r-bioc-singler_1.4.1+ds-1_amd64.deb +++ r-bioc-singler_1.4.1+ds-1_amd64.deb ├── file list │ @@ -1,3 +1,3 @@ │ -rw-r--r-- 0 0 0 4 2021-02-05 13:38:45.000000 debian-binary │ --rw-r--r-- 0 0 0 2048 2021-02-05 13:38:45.000000 control.tar.xz │ +-rw-r--r-- 0 0 0 2056 2021-02-05 13:38:45.000000 control.tar.xz │ -rw-r--r-- 0 0 0 274096 2021-02-05 13:38:45.000000 data.tar.xz ├── control.tar.xz │ ├── control.tar │ │ ├── file list │ │ │ @@ -1,3 +1,3 @@ │ │ │ drwxr-xr-x 0 root (0) root (0) 0 2021-02-05 13:38:45.000000 ./ │ │ │ --rw-r--r-- 0 root (0) root (0) 1125 2021-02-05 13:38:45.000000 ./control │ │ │ +-rw-r--r-- 0 root (0) root (0) 1142 2021-02-05 13:38:45.000000 ./control │ │ │ -rw-r--r-- 0 root (0) root (0) 3505 2021-02-05 13:38:45.000000 ./md5sums │ │ ├── ./control │ │ │ @@ -1,15 +1,15 @@ │ │ │ Package: r-bioc-singler │ │ │ Version: 1.4.1+ds-1 │ │ │ Architecture: amd64 │ │ │ Maintainer: Debian R Packages Maintainers │ │ │ Installed-Size: 519 │ │ │ Depends: r-base-core (>= 4.0.3-1), r-api-4.0, r-api-bioc-3.12, r-bioc-summarizedexperiment, r-cran-matrix, r-bioc-s4vectors, r-bioc-delayedarray, r-bioc-delayedmatrixstats, r-bioc-biocneighbors, r-bioc-biocparallel, r-bioc-biocsingular, r-cran-rcpp, r-bioc-beachmat, libc6 (>= 2.14), libgcc-s1 (>= 3.0), libstdc++6 (>= 5.2) │ │ │ Recommends: r-cran-testthat, r-bioc-singlecellexperiment, r-bioc-scater, r-bioc-scran, r-cran-pheatmap, r-bioc-ensembldb │ │ │ -Suggests: r-cran-knitr, r-cran-rmarkdown, r-bioc-biocstyle, r-bioc-biocgenerics, r-bioc-scuttle, r-cran-ggplot2, r-cran-gridextra, r-cran-viridis │ │ │ +Suggests: r-cran-knitr, r-cran-rmarkdown, r-bioc-biocstyle, r-bioc-biocgenerics, r-bioc-scuttle, r-bioc-scrnaseq, r-cran-ggplot2, r-cran-gridextra, r-cran-viridis │ │ │ Section: gnu-r │ │ │ Priority: optional │ │ │ Homepage: https://bioconductor.org/packages/SingleR/ │ │ │ Description: BioConductor reference-based single-cell RNA-Seq annotation │ │ │ Performs unbiased cell type recognition from single-cell RNA │ │ │ sequencing data, by leveraging reference transcriptomic datasets of pure cell │ │ │ types to infer the cell of origin of each single cell independently.