r-infercnv 1.28.0
Dependencies: python@3.12.12
Propagated dependencies: r-ape@5.8-1 r-argparse@2.3.1 r-biocgenerics@0.58.1 r-catools@1.18.3 r-coda@0.19-4.1 r-coin@1.4-3 r-digest@0.6.39 r-doparallel@1.0.17 r-dplyr@1.2.1 r-edger@4.10.0 r-fastcluster@1.3.0 r-fitdistrplus@1.2-6 r-foreach@1.5.2 r-futile-logger@1.4.9 r-future@1.70.0 r-ggplot2@4.0.3 r-gplots@3.3.0 r-gridextra@2.3 r-hiddenmarkov@1.8-14 r-igraph@2.3.1 r-matrix@1.7-5 r-paralleldist@0.2.7 r-phyclust@0.1-34 r-rann@2.6.2 r-rcolorbrewer@1.1-3 r-reshape2@1.4.5 r-rjags@4-17 r-seurat@5.5.0 r-singlecellexperiment@1.34.0 r-summarizedexperiment@1.42.0 r-tidyr@1.3.2
Channel: guix
Licenses: Modified BSD
Build system: r
Synopsis: Infer copy number variation from single-cell RNA-Seq data
Description:
InferCNV is used to explore tumor single cell RNA-Seq data to identify evidence for somatic large-scale chromosomal copy number alterations, such as gains or deletions of entire chromosomes or large segments of chromosomes. This is done by exploring expression intensity of genes across positions of a tumor genome in comparison to a set of reference "normal" cells. A heatmap is generated illustrating the relative expression intensities across each chromosome, and it often becomes readily apparent as to which regions of the tumor genome are over-abundant or less-abundant as compared to that of normal cells.
Total packages: 1