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Protocol for the processing and downstream analysis of phosphoproteomic data with PhosR

Analysis of phosphoproteomic data requires advanced computational methodologies. To this end, we developed PhosR, a set of tools and methodologies implemented in R to allow the comprehensive analysis of phosphoproteomic data. PhosR enables processing steps such as imputation, normalization, and func...

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Detalles Bibliográficos
Autores principales: Kim, Hani Jieun, Kim, Taiyun, Xiao, Di, Yang, Pengyi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8190506/
https://www.ncbi.nlm.nih.gov/pubmed/34151303
http://dx.doi.org/10.1016/j.xpro.2021.100585
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author Kim, Hani Jieun
Kim, Taiyun
Xiao, Di
Yang, Pengyi
author_facet Kim, Hani Jieun
Kim, Taiyun
Xiao, Di
Yang, Pengyi
author_sort Kim, Hani Jieun
collection PubMed
description Analysis of phosphoproteomic data requires advanced computational methodologies. To this end, we developed PhosR, a set of tools and methodologies implemented in R to allow the comprehensive analysis of phosphoproteomic data. PhosR enables processing steps such as imputation, normalization, and functional analysis such as kinase activity inference and signalome construction. Together, PhosR facilitates interpretation and discovery from large-scale phosphoproteomic data sets. For complete details on the use and execution of this protocol, please refer to Kim et al. (2021).
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spelling pubmed-81905062021-06-17 Protocol for the processing and downstream analysis of phosphoproteomic data with PhosR Kim, Hani Jieun Kim, Taiyun Xiao, Di Yang, Pengyi STAR Protoc Protocol Analysis of phosphoproteomic data requires advanced computational methodologies. To this end, we developed PhosR, a set of tools and methodologies implemented in R to allow the comprehensive analysis of phosphoproteomic data. PhosR enables processing steps such as imputation, normalization, and functional analysis such as kinase activity inference and signalome construction. Together, PhosR facilitates interpretation and discovery from large-scale phosphoproteomic data sets. For complete details on the use and execution of this protocol, please refer to Kim et al. (2021). Elsevier 2021-06-05 /pmc/articles/PMC8190506/ /pubmed/34151303 http://dx.doi.org/10.1016/j.xpro.2021.100585 Text en © 2021 The Authors https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Protocol
Kim, Hani Jieun
Kim, Taiyun
Xiao, Di
Yang, Pengyi
Protocol for the processing and downstream analysis of phosphoproteomic data with PhosR
title Protocol for the processing and downstream analysis of phosphoproteomic data with PhosR
title_full Protocol for the processing and downstream analysis of phosphoproteomic data with PhosR
title_fullStr Protocol for the processing and downstream analysis of phosphoproteomic data with PhosR
title_full_unstemmed Protocol for the processing and downstream analysis of phosphoproteomic data with PhosR
title_short Protocol for the processing and downstream analysis of phosphoproteomic data with PhosR
title_sort protocol for the processing and downstream analysis of phosphoproteomic data with phosr
topic Protocol
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8190506/
https://www.ncbi.nlm.nih.gov/pubmed/34151303
http://dx.doi.org/10.1016/j.xpro.2021.100585
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