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PAWER: protein array web exploreR
BACKGROUND: Protein microarray is a well-established approach for characterizing activity levels of thousands of proteins in a parallel manner. Analysis of protein microarray data is complex and time-consuming, while existing solutions are either outdated or challenging to use without programming sk...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7499988/ https://www.ncbi.nlm.nih.gov/pubmed/32942983 http://dx.doi.org/10.1186/s12859-020-03722-z |
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author | Fishman, Dmytro Kuzmin, Ivan Adler, Priit Vilo, Jaak Peterson, Hedi |
author_facet | Fishman, Dmytro Kuzmin, Ivan Adler, Priit Vilo, Jaak Peterson, Hedi |
author_sort | Fishman, Dmytro |
collection | PubMed |
description | BACKGROUND: Protein microarray is a well-established approach for characterizing activity levels of thousands of proteins in a parallel manner. Analysis of protein microarray data is complex and time-consuming, while existing solutions are either outdated or challenging to use without programming skills. The typical data analysis pipeline consists of a data preprocessing step, followed by differential expression analysis, which is then put into context via functional enrichment. Normally, biologists would need to assemble their own workflow by combining a set of unrelated tools to analyze experimental data. Provided that most of these tools are developed independently by various bioinformatics groups, making them work together could be a real challenge. RESULTS: Here we present PAWER, the online web tool dedicated solely to protein microarray analysis. PAWER enables biologists to carry out all the necessary analysis steps in one go. PAWER provides access to state-of-the-art computational methods through the user-friendly interface, resulting in publication-ready illustrations. We also provide an R package for more advanced use cases, such as bespoke analysis workflows. CONCLUSIONS: PAWER is freely available at https://biit.cs.ut.ee/pawer. |
format | Online Article Text |
id | pubmed-7499988 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-74999882020-09-21 PAWER: protein array web exploreR Fishman, Dmytro Kuzmin, Ivan Adler, Priit Vilo, Jaak Peterson, Hedi BMC Bioinformatics Software BACKGROUND: Protein microarray is a well-established approach for characterizing activity levels of thousands of proteins in a parallel manner. Analysis of protein microarray data is complex and time-consuming, while existing solutions are either outdated or challenging to use without programming skills. The typical data analysis pipeline consists of a data preprocessing step, followed by differential expression analysis, which is then put into context via functional enrichment. Normally, biologists would need to assemble their own workflow by combining a set of unrelated tools to analyze experimental data. Provided that most of these tools are developed independently by various bioinformatics groups, making them work together could be a real challenge. RESULTS: Here we present PAWER, the online web tool dedicated solely to protein microarray analysis. PAWER enables biologists to carry out all the necessary analysis steps in one go. PAWER provides access to state-of-the-art computational methods through the user-friendly interface, resulting in publication-ready illustrations. We also provide an R package for more advanced use cases, such as bespoke analysis workflows. CONCLUSIONS: PAWER is freely available at https://biit.cs.ut.ee/pawer. BioMed Central 2020-09-17 /pmc/articles/PMC7499988/ /pubmed/32942983 http://dx.doi.org/10.1186/s12859-020-03722-z Text en © The Author(s) 2020 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. 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 in a credit line to the data. |
spellingShingle | Software Fishman, Dmytro Kuzmin, Ivan Adler, Priit Vilo, Jaak Peterson, Hedi PAWER: protein array web exploreR |
title | PAWER: protein array web exploreR |
title_full | PAWER: protein array web exploreR |
title_fullStr | PAWER: protein array web exploreR |
title_full_unstemmed | PAWER: protein array web exploreR |
title_short | PAWER: protein array web exploreR |
title_sort | pawer: protein array web explorer |
topic | Software |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7499988/ https://www.ncbi.nlm.nih.gov/pubmed/32942983 http://dx.doi.org/10.1186/s12859-020-03722-z |
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