bioconductor-edger

Summary

Differential expression analysis of RNA-seq expression profiles with biological replication. Implements a range of statistical methodology based on the negative binomial distributions, including empirical Bayes estimation, exact tests, generalized linear models and quasi-likelihood tests. As well as RNA-seq, it be applied to differential signal analysis of other types of genomic data that produce counts, including ChIP-seq, SAGE and CAGE.

Versions

  • 3.12.0

License

GPL (>=2)

Meta

package:
  name: bioconductor-edger
  version: 3.12.0
source:
  fn: edgeR_3.12.0.tar.gz
  url: http://bioconductor.org/packages/release/bioc/src/contrib/edgeR_3.12.0.tar.gz
  md5: d46e201e0ed0895d88609bde6a7272af
build:
  number: 0
  rpaths:
    - lib/R/lib/
    - lib/
requirements:
  build:
    - bioconductor-limma
    - 'r >=2.15.0'
  run:
    - bioconductor-limma
    - 'r >=2.15.0'
test:
  commands:
    - '$R -e "library(''edgeR'')"'
about:
  home: http://bioconductor.org/packages/release/bioc/html/edgeR.html
  license: 'GPL (>=2)'
  summary: 'Differential expression analysis of RNA-seq expression profiles with biological
    replication. Implements a range of statistical methodology based on the negative
    binomial distributions, including empirical Bayes estimation, exact tests, generalized
    linear models and quasi-likelihood tests. As well as RNA-seq, it be applied to
    differential signal analysis of other types of genomic data that produce counts,
    including ChIP-seq, SAGE and CAGE.'