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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 "HPAanalyze" in publications use:'
type: software
license: GPL-3.0-only
title: 'HPAanalyze: Retrieve and analyze data from the Human Protein Atlas'
version: 1.23.0
doi: 10.1186/s12859-019-3059-z
abstract: Provide functions for retrieving, exploratory analyzing and visualizing
  the Human Protein Atlas data.
authors:
- family-names: Tran
  given-names: Anh Nhat
  email: trannhatanh89@gmail.com
preferred-citation:
  type: article
  title: 'HPAanalyze: an R package that facilitates the retrieval and analysis of
    the Human Protein Atlas data'
  authors:
  - family-names: Tran
    given-names: Anh Nhat
    email: trannhatanh89@gmail.com
  - family-names: Dussaq
    given-names: Alex M.
  - family-names: Kennell Jr
    given-names: Timothy
  - family-names: Willey
    given-names: Christopher D.
  - family-names: Hjelmeland
    given-names: Anita B.
  year: '2019'
  doi: 10.1186/s12859-019-3059-z
  journal: BMC Bioinformatics
  publisher:
    name: Springer Nature
    address: Birmingham, Alabama
  abstract: 'Background: The Human Protein Atlas program aims to map human proteins
    via multiple technologies including imaging, proteomics and transcriptomics. Access
    of the HPA data is mainly via web-based interface allowing view of individual
    proteins, which may not be optimal for data analysis of a gene set, or automatic
    retrieval of original images. Results: HPAanalyze is an R package for retrieving
    and performing exploratory data analysis from HPA. It provides functionality for
    importing data tables and xml files from HPA, exporting and visualizing data,
    as well as download all staining images of interest. The package is free, open
    source, and available via GitHub. Conclusions: HPAanalyze intergrates into the
    R workflow via the tidyverse philosophy and data structures, and can be used in
    combination with Bioconductor packages for easy analysis of HPA data.'
repository: https://bioc.r-universe.dev
repository-code: https://github.com/anhtr/HPAanalyze
url: https://github.com/anhtr/HPAanalyze
date-released: '2023-06-02'
contact:
- family-names: Tran
  given-names: Anh Nhat
  email: trannhatanh89@gmail.com