r-scpipe 2.10.0
Dependencies: zlib@1.3.1
Propagated dependencies: r-vctrs@0.6.5 r-tidyr@1.3.1 r-tibble@3.3.0 r-testthat@3.3.0 r-summarizedexperiment@1.40.0 r-stringr@1.6.0 r-singlecellexperiment@1.32.0 r-scales@1.4.0 r-s4vectors@0.48.0 r-rtracklayer@1.70.0 r-rsubread@2.24.0 r-rsamtools@2.26.0 r-robustbase@0.99-6 r-rlang@1.1.6 r-rhtslib@3.6.0 r-reticulate@1.44.1 r-reshape@0.8.10 r-rcpp@1.1.0 r-purrr@1.2.0 r-org-mm-eg-db@3.22.0 r-org-hs-eg-db@3.22.0 r-multiassayexperiment@1.36.1 r-mclust@6.1.2 r-matrix@1.7-4 r-mass@7.3-65 r-magrittr@2.0.4 r-iranges@2.44.0 r-hash@2.2.6.3 r-glue@1.8.0 r-ggplot2@4.0.1 r-ggally@2.4.0 r-genomicranges@1.62.0 r-genomicalignments@1.46.0 r-flexmix@2.3-20 r-dropletutils@1.30.0 r-dplyr@1.1.4 r-data-table@1.17.8 r-biostrings@2.78.0 r-biomart@2.66.0 r-biocgenerics@0.56.0 r-basilisk@1.22.0 r-annotationdbi@1.72.0
Channel: guix-bioc
Home page: https://github.com/LuyiTian/scPipe
Licenses: GPL 2+
Build system: r
Synopsis: Pipeline for single cell multi-omic data pre-processing
Description:
This package provides a preprocessing pipeline for single cell RNA-seq/ATAC-seq data that starts from the fastq files and produces a feature count matrix with associated quality control information. It can process fastq data generated by CEL-seq, MARS-seq, Drop-seq, Chromium 10x and SMART-seq protocols.
Total results: 1