DESCRIPTION

Package: multiseq
Encoding: UTF-8
Type: Package
Maintainer: Heejung Shim <hjshim@gmail.com>, Matthew Stephens <mstephens@uchicago.edu>
Author: Heejung Shim, Zhengrong Xing, Ester Pantaleo, Matthew Stephens.
Title: multi-scale Poisson process approach for differential expression analysis or association analysis of high-throughput sequencing data
Version: 0.1.3
Date: 2021-06-06
Description: multi-scale Poisson process approach for differential expression analysis or association analysis of high-throughput sequencing data. It estimates and tests for differences (or associations) in the high-throughput sequencing data across samples. The algorithms implement the methods described Shim et al, 2021. 
License: GPL (>= 3)
Depends:
    R (>= 3.1.1),
    Rcpp (>= 0.10.4),
    ashr (== 1.0.12),
    tools,
    data.table
VignetteBuilder: knitr
Suggests:
    knitr,
    rhdf5,
    rmarkdown,
    testthat
LinkingTo: Rcpp
NeedsCompilation: yes
LazyData: true
URL: https://github.com/heejungshim/multiseq/
RoxygenNote: 7.1.1.9001