Package: scran
Version: 1.10.1
Date: 2018-11-02
Title: Methods for Single-Cell RNA-Seq Data Analysis
Authors@R: c(person("Aaron", "Lun", role = c("aut", "cre"), 
        email = "infinite.monkeys.with.keyboards@gmail.com"), 
        person("Karsten", "Bach", role = "aut"),
        person("Jong Kyoung", "Kim", role = "ctb"), 
        person("Antonio", "Scialdone", role="ctb"), 
        person("Laleh", "Haghverdi", role="ctb"))
Depends: R (>= 3.5), BiocParallel, SingleCellExperiment
Imports: SummarizedExperiment, S4Vectors, BiocGenerics, Rcpp (>=
        0.12.14), stats, methods, utils, Matrix, scater, edgeR, limma,
        dynamicTreeCut, BiocNeighbors, igraph, statmod, DelayedArray,
        DelayedMatrixStats
Suggests: testthat, BiocStyle, knitr, beachmat, HDF5Array, irlba,
        org.Mm.eg.db, DESeq2, monocle, pracma, Biobase, aroma.light
biocViews: Normalization, Sequencing, RNASeq, Software, GeneExpression,
        Transcriptomics, SingleCell, Visualization, BatchEffect,
        Clustering
Description: Implements functions for low-level analyses of single-cell 
        RNA-seq data. Methods are provided for normalization of 
        cell-specific biases, assignment of cell cycle phase, 
        detection of highly variable and significantly correlated genes,
        correction of batch effects, identification of marker genes,
        and other common tasks in single-cell analysis workflows.
License: GPL-3
NeedsCompilation: yes
VignetteBuilder: knitr
SystemRequirements: C++11
LinkingTo: beachmat, Rcpp, Rhdf5lib
RoxygenNote: 6.1.0
git_url: https://git.bioconductor.org/packages/scran
git_branch: RELEASE_3_8
git_last_commit: 2004cfa
git_last_commit_date: 2018-11-02
Date/Publication: 2018-11-03
Packaged: 2018-11-04 01:13:57 UTC; biocbuild
Author: Aaron Lun [aut, cre],
  Karsten Bach [aut],
  Jong Kyoung Kim [ctb],
  Antonio Scialdone [ctb],
  Laleh Haghverdi [ctb]
Maintainer: Aaron Lun <infinite.monkeys.with.keyboards@gmail.com>
Built: R 3.5.1; x86_64-conda_cos6-linux-gnu; 2018-12-21 22:46:54 UTC; unix
