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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...

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Detalles Bibliográficos
Autores principales: Kaur, Sandeep, Baldi, Benedetta, Vuong, Jenny, O'Donoghue, Seàn I.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2019
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].
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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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