Package: scran
Version: 1.2.2
Date: 2017-01-18
Title: Methods for Single-Cell RNA-Seq Data Analysis
Authors@R: c(person("Aaron", "Lun", role = c("aut", "cre"), email =
        "alun@wehi.edu.au"), person("Karsten", "Bach", role = "aut"),
        person("Jong Kyoung", "Kim", role = "ctb"), person("Antonio", 
        "Scialdone", role="ctb"))
Maintainer: Aaron Lun <alun@wehi.edu.au>
Depends: R (>= 3.3.0), BiocParallel, scater
Imports: dynamicTreeCut, zoo, edgeR, stats, BiocGenerics, methods,
        Biobase, utils, Matrix, shiny, graphics, grDevices, statmod
Suggests: limSolve, limma, testthat, knitr, BiocStyle, org.Mm.eg.db,
        DESeq2, monocle, S4Vectors, ggplot2
biocViews: Normalization, Sequencing, RNASeq, Software, GeneExpression,
        Transcriptomics, SingleCell
Description: Implements a variety of low-level analyses of single-cell 
        RNA-seq data. Methods are provided for normalization of 
        cell-specific biases, assignment of cell cycle phase, and 
        detection of highly variable and significantly correlated genes.
License: GPL-3
NeedsCompilation: yes
VignetteBuilder: knitr
Author: Aaron Lun [aut, cre], Karsten Bach [aut], Jong Kyoung Kim [ctb],
        Antonio Scialdone [ctb]
Packaged: 2017-01-19 01:24:39 UTC; biocbuild
Built: R 3.3.2; i386-w64-mingw32; 2017-01-19 05:40:37 UTC; windows
Archs: i386, x64
