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# CITATION.cff file created with {cffr} R package
# See also: https://docs.ropensci.org/cffr/
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cff-version: 1.2.0
message: 'To cite package "sequencing" in publications use:'
type: software
license: Artistic-2.0
title: 'sequencing: Introduction to Bioconductor for Sequence Data'
version: 1.36.0
abstract: 'Bioconductor enables the analysis and comprehension of high- throughput
  genomic data. We have a vast number of packages that allow rigorous statistical
  analysis of large data while keeping technological artifacts in mind. Bioconductor
  helps users place their analytic results into biological context, with rich opportunities
  for visualization. Reproducibility is an important goal in Bioconductor analyses.
  Different types of analysis can be carried out using Bioconductor, for example;
  Sequencing : RNASeq, ChIPSeq, variants, copy number etc.; Microarrays: expression,
  SNP, etc.; Domain specific analysis : Flow cytometry, Proteomics etc. For these
  analyses, one typically imports and works with diverse sequence-related file types,
  including fasta, fastq, BAM, gtf, bed, and wig files, among others. Bioconductor
  packages support import, common and advanced sequence manipulation operations such
  as trimming, transformation, and alignment including quality assessment.'
authors:
- family-names: Arora
  given-names: Sonali
  email: sarora@fredhutch.org
- family-names: Morgan
  given-names: Martin
  email: martin.morgan@roswellpark.org
- name: Bioconductor Package Maintainer
  email: maintainer@bioconductor.org
repository: https://bioconductor.org/
commit: 68f9b361da1003803f9ec69affd129052473062b
url: https://www.bioconductor.org/help/workflows/sequencing/
date-released: '2017-10-18'
contact:
- name: Bioconductor Package Maintainer
  email: maintainer@bioconductor.org