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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 "SeqNet" in publications use:'
type: software
license:
- GPL-2.0-only
- GPL-3.0-only
title: 'SeqNet: Generate RNA-Seq Data from Gene-Gene Association Networks'
version: 1.1.4
doi: 10.18637/jss.v098.i12
abstract: Methods to generate random gene-gene association networks and simulate RNA-seq
  data from them, as described in Grimes and Datta (2021) <https://doi.org/10.18637/jss.v098.i12>.
  Includes functions to generate random networks of any size and perturb them to obtain
  differential networks. Network objects are built from individual, overlapping modules
  that represent pathways. The resulting network has various topological properties
  that are characteristic of gene regulatory networks. RNA-seq data can be generated
  such that the association among gene expression profiles reflect the underlying
  network. A reference RNA-seq dataset can be provided to model realistic marginal
  distributions. Plotting functions are available to visualize a network, compare
  two networks, and compare the expression of two genes across multiple networks.
authors:
- family-names: Grimes
  given-names: Tyler
  email: tyler.grimes@unf.edu
- family-names: Datta
  given-names: Somnath
preferred-citation:
  type: article
  title: 'SeqNet: An R Package for Generating Gene-Gene Networks and Simulating RNA-Seq
    Data'
  authors:
  - family-names: Grimes
    given-names: Tyler
    email: tyler.grimes@ufl.edu
  - family-names: Datta
    given-names: Somnath
    email: somnath.datta@ufl.edu
  journal: Journal of Statistical Software
  year: '2021'
  volume: '98'
  issue: '12'
  doi: 10.18637/jss.v098.i12
  start: '1'
  end: '49'
repository: https://cran.r-universe.dev
commit: 4f59c4e34140e089b3c4d34418f24d1e9b1c6146
date-released: '2026-10-10'
contact:
- family-names: Grimes
  given-names: Tyler
  email: tyler.grimes@unf.edu