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# CITATION.cff file created with {cffr} R package
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cff-version: 1.2.0
message: 'To cite package "rnaseqGene" in publications use:'
type: software
license: Artistic-2.0
title: 'rnaseqGene: RNA-seq workflow: gene-level exploratory analysis and differential
  expression'
version: 1.37.0
doi: 10.12688/f1000research.7035.2
abstract: Here we walk through an end-to-end gene-level RNA-seq differential expression
  workflow using Bioconductor packages. We will start from the FASTQ files, show how
  these were aligned to the reference genome, and prepare a count matrix which tallies
  the number of RNA-seq reads/fragments within each gene for each sample. We will
  perform exploratory data analysis (EDA) for quality assessment and to explore the
  relationship between samples, perform differential gene expression analysis, and
  visually explore the results.
authors:
- family-names: Love
  given-names: Michael
  email: michaelisaiahlove@gmail.com
preferred-citation:
  type: article
  title: 'RNA-Seq workflow: gene-level exploratory analysis and differential expression'
  authors:
  - family-names: Love
    given-names: Michael I.
  - family-names: Anders
    given-names: Simon
  - family-names: Kim
    given-names: Vladislav
  - family-names: Huber
    given-names: Wolfgang
  year: '2016'
  journal: F1000Research
  doi: 10.12688/f1000research.7035.2
repository: https://bioc.r-universe.dev
repository-code: https://github.com/thelovelab/rnaseqGene/
commit: adf76f21025db6b414766adcdd1990f19e4d770f
url: https://github.com/thelovelab/rnaseqGene/
date-released: '2026-04-13'
contact:
- family-names: Love
  given-names: Michael
  email: michaelisaiahlove@gmail.com