# --------------------------------------------
# CITATION file created with {cffr} R package
# See also: https://docs.ropensci.org/cffr/
# --------------------------------------------
 
cff-version: 1.2.0
message: 'To cite package "AmpliconDuo" in publications use:'
type: software
license: GPL-3.0-or-later
title: 'AmpliconDuo: Statistical Analysis of Amplicon Data of the Same Sample to Identify
  Artefacts'
version: 1.1.1
doi: 10.32614/CRAN.package.AmpliconDuo
abstract: Increasingly powerful techniques for high-throughput sequencing open the
  possibility to comprehensively characterize microbial communities, including rare
  species. However, a still unresolved issue are the substantial error rates in the
  experimental process generating these sequences. To overcome these limitations we
  propose an approach, where each sample is split and the same amplification and sequencing
  protocol is applied to both halves. This procedure should allow to detect likely
  PCR and sequencing artifacts, and true rare species by comparison of the results
  of both parts. The AmpliconDuo package, whereas amplicon duo from here on refers
  to the two amplicon data sets of a split sample, is intended to help interpret the
  obtained read frequency distribution across split samples, and to filter the false
  positive reads.
authors:
- family-names: Lange
  given-names: Anja
  email: anja.lange@uni-due.de
- family-names: Hoffmann
  given-names: Daniel
  email: daniel.hoffmann@uni-due.de
repository: https://anla8000.r-universe.dev
commit: 62025005eb0b7d6cc9fd6ede126af7d4eaabdfa5
date-released: '2020-05-22'
contact:
- family-names: Lange
  given-names: Anja
  email: anja.lange@uni-due.de