bioconductor-dexseq

Summary

The package is focused on finding differential exon usage using RNA-seq exon counts between samples with different experimental designs. It provides functions that allows the user to make the necessary statistical tests based on a model that uses the negative binomial distribution to estimate the variance between biological replicates and generalized linear models for testing. The package also provides functions for the visualization and exploration of the results.

Versions

  • 1.16.6

License

GPL (>= 3)

Meta

package:
  name: bioconductor-dexseq
  version: 1.16.6
source:
  fn: DEXSeq_1.16.6.tar.gz
  url: http://bioconductor.org/packages/release/bioc/src/contrib/DEXSeq_1.16.6.tar.gz
  md5: 54a02541abe6790f757c0740a28c4e2f
build:
  number: 0
  rpaths:
    - lib/R/lib/
    - lib/
requirements:
  build:
    - bioconductor-biobase
    - bioconductor-biocgenerics
    - bioconductor-biocparallel
    - bioconductor-biomart
    - 'bioconductor-deseq2 >=1.9.11'
    - bioconductor-genefilter
    - bioconductor-geneplotter
    - 'bioconductor-genomicranges >=1.19.6'
    - 'bioconductor-iranges >=2.1.10'
    - bioconductor-rsamtools
    - r
    - r-hwriter
    - r-rcolorbrewer
    - r-statmod
    - r-stringr
  run:
    - bioconductor-biobase
    - bioconductor-biocgenerics
    - bioconductor-biocparallel
    - bioconductor-biomart
    - 'bioconductor-deseq2 >=1.9.11'
    - bioconductor-genefilter
    - bioconductor-geneplotter
    - 'bioconductor-genomicranges >=1.19.6'
    - 'bioconductor-iranges >=2.1.10'
    - bioconductor-rsamtools
    - r
    - r-hwriter
    - r-rcolorbrewer
    - r-statmod
    - r-stringr
test:
  commands:
    - '$R -e "library(''DEXSeq'')"'
about:
  home: http://bioconductor.org/packages/release/bioc/html/DEXSeq.html
  license: 'GPL (>= 3)'
  summary: 'The package is focused on finding differential exon usage using RNA-seq
    exon counts between samples with different experimental designs. It provides functions
    that allows the user to make the necessary statistical tests based on a model
    that uses the negative binomial distribution to estimate the variance between
    biological replicates and generalized linear models for testing. The package also
    provides functions for the visualization and exploration of the results.'