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# CITATION 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 "segmentSeq" in publications use:'
type: software
license: GPL-3.0-only
title: 'segmentSeq: Methods for identifying small RNA loci from high-throughput sequencing
  data'
version: 2.39.0
doi: 10.18129/B9.bioc.segmentSeq
abstract: High-throughput sequencing technologies allow the production of large volumes
  of short sequences, which can be aligned to the genome to create a set of matches
  to the genome. By looking for regions of the genome which to which there are high
  densities of matches, we can infer a segmentation of the genome into regions of
  biological significance. The methods in this package allow the simultaneous segmentation
  of data from multiple samples, taking into account replicate data, in order to create
  a consensus segmentation. This has obvious applications in a number of classes of
  sequencing experiments, particularly in the discovery of small RNA loci and novel
  mRNA transcriptome discovery.
authors:
- family-names: Hardcastle
  given-names: Thomas J.
- family-names: Granjeaud
  given-names: Samuel
  email: samuel.granjeaud@inserm.fr
  orcid: https://orcid.org/0000-0001-9245-1535
preferred-citation:
  type: manual
  title: Methods for identifying small RNA loci from high-throughput sequencing data
  authors:
  - name: Hardcastle
  - family-names: J
    given-names: Thomas
  year: '2024'
  url: http://www.bioconductor.org/packages/segmentSeq
  notes: https://github.com/SamGG/segmentSeq/segmentSeq - R package version 2.39.0
  doi: 10.18129/B9.bioc.segmentSeq
repository: https://bioc.r-universe.dev
repository-code: https://github.com/samgg/segmentSeq
url: https://github.com/samgg/segmentSeq
date-released: '2021-11-21'
contact:
- family-names: Granjeaud
  given-names: Samuel
  email: samuel.granjeaud@inserm.fr
  orcid: https://orcid.org/0000-0001-9245-1535
references:
- type: article
  title: Methods for discovering genomic loci exhibiting complex patterns of differential
    methylation
  authors:
  - name: Hardcastle
  - family-names: J
    given-names: Thomas
  year: 18 September 2017
  journal: BMC Bioinformatics
  doi: 10.1186/s12859-017-1836-0
  url: https://doi.org/10.1186/s12859-017-1836-0