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HPAanalyze: an R package that facilitates the retrieval and analysis of the Human Protein Atlas data
BACKGROUND: The Human Protein Atlas (HPA) 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 views of individual proteins, which may not be optimal for data analysis of a gene set,...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6734269/ https://www.ncbi.nlm.nih.gov/pubmed/31500569 http://dx.doi.org/10.1186/s12859-019-3059-z |
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author | Tran, Anh Nhat Dussaq, Alex M. Kennell, Timothy Willey, Christopher D. Hjelmeland, Anita B. |
author_facet | Tran, Anh Nhat Dussaq, Alex M. Kennell, Timothy Willey, Christopher D. Hjelmeland, Anita B. |
author_sort | Tran, Anh Nhat |
collection | PubMed |
description | BACKGROUND: The Human Protein Atlas (HPA) 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 views 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 analysis of data from HPA. HPAanalyze provides functionality for importing data tables and xml files from HPA, exporting and visualizing data, as well as downloading all staining images of interest. The package is free, open source, and available via Bioconductor and GitHub. We provide examples of the use of HPAanalyze to investigate proteins altered in the deadly brain tumor glioblastoma. For example, we confirm Epidermal Growth Factor Receptor elevation and Phosphatase and Tensin Homolog loss and suggest the importance of the GTP Cyclohydrolase I/Tetrahydrobiopterin pathway. Additionally, we provide an interactive website for non-programmers to explore and visualize data without the use of R. CONCLUSIONS: HPAanalyze integrates into the R workflow with the tidyverse framework, and it can be used in combination with Bioconductor packages for easy analysis of HPA data. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12859-019-3059-z) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-6734269 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-67342692019-09-12 HPAanalyze: an R package that facilitates the retrieval and analysis of the Human Protein Atlas data Tran, Anh Nhat Dussaq, Alex M. Kennell, Timothy Willey, Christopher D. Hjelmeland, Anita B. BMC Bioinformatics Software BACKGROUND: The Human Protein Atlas (HPA) 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 views 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 analysis of data from HPA. HPAanalyze provides functionality for importing data tables and xml files from HPA, exporting and visualizing data, as well as downloading all staining images of interest. The package is free, open source, and available via Bioconductor and GitHub. We provide examples of the use of HPAanalyze to investigate proteins altered in the deadly brain tumor glioblastoma. For example, we confirm Epidermal Growth Factor Receptor elevation and Phosphatase and Tensin Homolog loss and suggest the importance of the GTP Cyclohydrolase I/Tetrahydrobiopterin pathway. Additionally, we provide an interactive website for non-programmers to explore and visualize data without the use of R. CONCLUSIONS: HPAanalyze integrates into the R workflow with the tidyverse framework, and it can be used in combination with Bioconductor packages for easy analysis of HPA data. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12859-019-3059-z) contains supplementary material, which is available to authorized users. BioMed Central 2019-09-09 /pmc/articles/PMC6734269/ /pubmed/31500569 http://dx.doi.org/10.1186/s12859-019-3059-z Text en © The Author(s). 2019 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Software Tran, Anh Nhat Dussaq, Alex M. Kennell, Timothy Willey, Christopher D. Hjelmeland, Anita B. HPAanalyze: an R package that facilitates the retrieval and analysis of the Human Protein Atlas data |
title | HPAanalyze: an R package that facilitates the retrieval and analysis of the Human Protein Atlas data |
title_full | HPAanalyze: an R package that facilitates the retrieval and analysis of the Human Protein Atlas data |
title_fullStr | HPAanalyze: an R package that facilitates the retrieval and analysis of the Human Protein Atlas data |
title_full_unstemmed | HPAanalyze: an R package that facilitates the retrieval and analysis of the Human Protein Atlas data |
title_short | HPAanalyze: an R package that facilitates the retrieval and analysis of the Human Protein Atlas data |
title_sort | hpaanalyze: an r package that facilitates the retrieval and analysis of the human protein atlas data |
topic | Software |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6734269/ https://www.ncbi.nlm.nih.gov/pubmed/31500569 http://dx.doi.org/10.1186/s12859-019-3059-z |
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