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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 "XINA" in publications use:'
type: software
license: GPL-3.0-only
title: 'XINA: Multiplexes Isobaric Mass Tagged-based Kinetics Data for Network Analysis'
version: 1.23.0
identifiers:
- type: doi
  value: 10.32614/CRAN.package.XINA
abstract: The aim of XINA is to determine which proteins exhibit similar patterns
  within and across experimental conditions, since proteins with co-abundance patterns
  may have common molecular functions. XINA imports multiple datasets, tags dataset
  in silico, and combines the data for subsequent subgrouping into multiple clusters.
  The result is a single output depicting the variation across all conditions. XINA,
  not only extracts coabundance profiles within and across experiments, but also incorporates
  protein-protein interaction databases and integrative resources such as KEGG to
  infer interactors and molecular functions, respectively, and produces intuitive
  graphical outputs.
authors:
- family-names: Lee
  given-names: Lang Ho
  email: lhlee@bwh.harvard.edu
- family-names: Singh
  given-names: Sasha
  email: sasingh@bwh.harvard.edu
preferred-citation:
  type: article
  title: 'XINA: a workflow for the integration of multiplexed proteomics kinetics
    data with network analysis'
  authors:
  - family-names: Lee
    given-names: Lang Ho
    email: lhlee@bwh.harvard.edu
  - family-names: Halu
    given-names: Arda
  - family-names: Morgan
    given-names: Stephanie
  - family-names: Iwata
    given-names: Hiroshi
  - family-names: Aikawa
    given-names: Masanori
  - family-names: Singh
    given-names: Sasha
    email: sasingh@bwh.harvard.edu
  journal: Journal of Proteome Research
  year: '2019'
  notes: https://pubs.acs.org/doi/10.1021/acs.jproteome.8b00615
repository: https://bioc.r-universe.dev
commit: 0538436739f5021a1fdbc35b8be1dee982334dff
date-released: '2019-01-31'
contact:
- family-names: Lee
  given-names: Lang Ho
  email: lhlee@bwh.harvard.edu