Package: scPipe
Title: pipeline for single cell RNA-seq data analysis
Version: 1.0.0
Type: Package
Maintainer: Luyi Tian <tian.l@wehi.edu.au>
Author: Luyi Tian
Authors@R: c(person("Luyi", "Tian", role=c("aut", "cre"),
        email="tian.l@wehi.edu.au"), person("Shian", "Su",
        role=c("aut"), email="su.s@wehi.edu.au"), person("Matt",
        "Ritchie", role=c("ctb"),
        email="mritchie@wehi.edu.au"),  person("Shalin",
        "Naik", role=c("ctb"),
        email="naik.s@wehi.edu.au"))
biocViews: Software, Sequencing, RNASeq, GeneExpression, SingleCell,
        Visualization, SequenceMatching, Preprocessing, QualityControl,
        GenomeAnnotation
Description: to process single cell RNA-seq data from fastq to gene counting matrix. it can process data generated by CEL-seq, MARS-seq, Drop-seq and SMART-seq.
Depends: R (>= 3.4), ggplot2, methods, SingleCellExperiment
LinkingTo: Rcpp, Rhtslib, zlibbioc
Imports: Rhtslib, biomaRt, GGally, MASS, mclust, Rcpp (>= 0.11.3),
        reshape, BiocGenerics, robustbase, scales, utils, stats,
        S4Vectors, SummarizedExperiment
License: GPL (>= 2)
Encoding: UTF-8
RoxygenNote: 6.0.1
NeedsCompilation: yes
URL: https://github.com/LuyiTian/scPipe
BugReports: https://github.com/LuyiTian/scPipe
Suggests: knitr, rmarkdown, testthat
VignetteBuilder: knitr
Packaged: 2017-10-31 01:37:15 UTC; biocbuild
Built: R 3.4.1; x86_64-pc-linux-gnu; 2017-11-17 08:28:21 UTC; unix
