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A benchmark dataset for analyzing and visualizing the dynamic epiproteome
In this paper, we present a benchmark dataset to evaluate the currently available analysis methods and visualizations for epiproteomic data. The benchmark dataset is a subset of a high-throughput time-series study of phosphoevents occurring upon insulin stimulation. Our dataset is provided in multip...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6598866/ https://www.ncbi.nlm.nih.gov/pubmed/31297408 http://dx.doi.org/10.1016/j.dib.2019.104000 |
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author | Kaur, Sandeep Baldi, Benedetta Vuong, Jenny O'Donoghue, Seàn I. |
author_facet | Kaur, Sandeep Baldi, Benedetta Vuong, Jenny O'Donoghue, Seàn I. |
author_sort | Kaur, Sandeep |
collection | PubMed |
description | In this paper, we present a benchmark dataset to evaluate the currently available analysis methods and visualizations for epiproteomic data. The benchmark dataset is a subset of a high-throughput time-series study of phosphoevents occurring upon insulin stimulation. Our dataset is provided in multiple formats for use with four currently available tools. We also provide a file containing the kinase assignments for the sites, as well as a simple kappa model on phosphorylation changes in insulin signalling. A detailed description of the tools, their analysis methods, and the visualizations generated using the input files described here, are discussed in detail in the accompanying review titled “Visualization and analysis of epiproteome dynamics" [1]. |
format | Online Article Text |
id | pubmed-6598866 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-65988662019-07-11 A benchmark dataset for analyzing and visualizing the dynamic epiproteome Kaur, Sandeep Baldi, Benedetta Vuong, Jenny O'Donoghue, Seàn I. Data Brief Agricultural and Biological Science In this paper, we present a benchmark dataset to evaluate the currently available analysis methods and visualizations for epiproteomic data. The benchmark dataset is a subset of a high-throughput time-series study of phosphoevents occurring upon insulin stimulation. Our dataset is provided in multiple formats for use with four currently available tools. We also provide a file containing the kinase assignments for the sites, as well as a simple kappa model on phosphorylation changes in insulin signalling. A detailed description of the tools, their analysis methods, and the visualizations generated using the input files described here, are discussed in detail in the accompanying review titled “Visualization and analysis of epiproteome dynamics" [1]. Elsevier 2019-05-30 /pmc/articles/PMC6598866/ /pubmed/31297408 http://dx.doi.org/10.1016/j.dib.2019.104000 Text en © 2019 The Author(s) http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Agricultural and Biological Science Kaur, Sandeep Baldi, Benedetta Vuong, Jenny O'Donoghue, Seàn I. A benchmark dataset for analyzing and visualizing the dynamic epiproteome |
title | A benchmark dataset for analyzing and visualizing the dynamic epiproteome |
title_full | A benchmark dataset for analyzing and visualizing the dynamic epiproteome |
title_fullStr | A benchmark dataset for analyzing and visualizing the dynamic epiproteome |
title_full_unstemmed | A benchmark dataset for analyzing and visualizing the dynamic epiproteome |
title_short | A benchmark dataset for analyzing and visualizing the dynamic epiproteome |
title_sort | benchmark dataset for analyzing and visualizing the dynamic epiproteome |
topic | Agricultural and Biological Science |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6598866/ https://www.ncbi.nlm.nih.gov/pubmed/31297408 http://dx.doi.org/10.1016/j.dib.2019.104000 |
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