DESCRIPTION

Package: NBAMSeq
Type: Package
Title: Negative Binomial Additive Model for RNA-Seq Data
Version: 1.7.1
Authors@R: c(
    person("Xu", "Ren", 
        email = "xuren2120@gmail.com", role = c("aut", "cre")),
    person("Pei Fen", "Kuan", 
        email = "peifen.kuan@stonybrook.edu", role = "aut"))
Description: High-throughput sequencing experiments followed by differential 
    expression analysis is a widely used approach to detect genomic biomarkers. 
    A fundamental step in differential expression analysis is to model the 
    association between gene counts and covariates of interest. NBAMSeq a 
    flexible statistical model based on the generalized additive model and 
    allows for information sharing across genes in variance estimation. 
License: GPL-2
URL: https://github.com/reese3928/NBAMSeq
BugReports: https://github.com/reese3928/NBAMSeq/issues
Encoding: UTF-8
Imports:
    DESeq2,
    mgcv(>= 1.8-24),
    BiocParallel,
    genefilter,
    methods,
    stats,
Depends:
    R (>= 3.6),
    SummarizedExperiment,
    S4Vectors
Suggests:
    knitr,
    rmarkdown,
    testthat,
    ggplot2
RoxygenNote: 6.1.0
VignetteBuilder: knitr
biocViews: RNASeq, DifferentialExpression, GeneExpression, Sequencing, Coverage