To cite reports in publications, please use:

Tran, A.N., Dussaq, A.M., Kennell, T. et al. HPAanalyze: an R package that facilitates the retrieval and analysis of the Human Protein Atlas data. BMC Bioinformatics 20, 463 (2019)<doi:10.1186/s12859-019-3059-z>

Corresponding BibTeX entry:

  @Article{,
    title = {HPAanalyze: an R package that facilitates the retrieval
      and analysis of the Human Protein Atlas data},
    author = {Anh Nhat Tran and Alex M. Dussaq and Timothy {Kennell Jr}
      and Christopher D. Willey and Anita B. Hjelmeland},
    organization = {University of Alabama at Birmingham},
    address = {Birmingham, Alabama},
    year = {2019},
    doi = {10.1186/s12859-019-3059-z},
    journal = {BMC Bioinformatics},
    publisher = {Springer Nature},
    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.},
  }