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Multipath: An R Package to Generate Integrated Reproducible Pathway Models
SIMPLE SUMMARY: In biological terms, the term "pathway" is used to describe a collection of processes within a cell that lead to one or more actions. The graphical representation of these processes enables the reader to understand complex relationships and interactions much more easily com...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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MDPI
2020
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7766416/ https://www.ncbi.nlm.nih.gov/pubmed/33371258 http://dx.doi.org/10.3390/biology9120483 |
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author | Hammoud, Zaynab Kramer, Frank |
author_facet | Hammoud, Zaynab Kramer, Frank |
author_sort | Hammoud, Zaynab |
collection | PubMed |
description | SIMPLE SUMMARY: In biological terms, the term "pathway" is used to describe a collection of processes within a cell that lead to one or more actions. The graphical representation of these processes enables the reader to understand complex relationships and interactions much more easily compared to free-text descriptions. While there is usually agreement on the existence and function of these high-level processes, the specific molecules and their interactions are often disputed and a matter of current research. A standardized computational representation of biological networks has become desirable, especially with the recent surge in new knowledge generation in biology and medicine. Our work is influenced by challenges emerging from previous work on biological pathways, knowledge encoding, and visualization as well as pathway databases. Our main motivation is the difficulty of reproducing pathway knowledge used within publications, even in top-tier journals. We propose a new way of integrating and modeling pathways and other influencing knowledge, such as drugs, and documenting their modifications using multilayered networks. We provide a tool that transforms encoded pathway data to multilayered graphs, with the possibility to modify them, and integrate other knowledge from external databases. ABSTRACT: Biological pathway data integration has become a topic of interest in the past years. This interest originates essentially from the continuously increasing size of existing prior knowledge as well as from the many challenges scientists face when studying biological pathways. Multipath is a framework that aims at helping re-trace the use of specific pathway knowledge in specific publications, and easing the data integration of multiple pathway types and further influencing knowledge sources. Multipath thus helps scientists to increase the reproducibility of their code and analysis by allowing the integration of numerous data sources and documentation of their integration steps while doing so. In this paper, we present the package Multipath, and we describe how it can be used for data integration and tracking pathway modifications. We present a multilayer model built from the Wnt Pathway as a demonstration. |
format | Online Article Text |
id | pubmed-7766416 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-77664162020-12-28 Multipath: An R Package to Generate Integrated Reproducible Pathway Models Hammoud, Zaynab Kramer, Frank Biology (Basel) Technical Note SIMPLE SUMMARY: In biological terms, the term "pathway" is used to describe a collection of processes within a cell that lead to one or more actions. The graphical representation of these processes enables the reader to understand complex relationships and interactions much more easily compared to free-text descriptions. While there is usually agreement on the existence and function of these high-level processes, the specific molecules and their interactions are often disputed and a matter of current research. A standardized computational representation of biological networks has become desirable, especially with the recent surge in new knowledge generation in biology and medicine. Our work is influenced by challenges emerging from previous work on biological pathways, knowledge encoding, and visualization as well as pathway databases. Our main motivation is the difficulty of reproducing pathway knowledge used within publications, even in top-tier journals. We propose a new way of integrating and modeling pathways and other influencing knowledge, such as drugs, and documenting their modifications using multilayered networks. We provide a tool that transforms encoded pathway data to multilayered graphs, with the possibility to modify them, and integrate other knowledge from external databases. ABSTRACT: Biological pathway data integration has become a topic of interest in the past years. This interest originates essentially from the continuously increasing size of existing prior knowledge as well as from the many challenges scientists face when studying biological pathways. Multipath is a framework that aims at helping re-trace the use of specific pathway knowledge in specific publications, and easing the data integration of multiple pathway types and further influencing knowledge sources. Multipath thus helps scientists to increase the reproducibility of their code and analysis by allowing the integration of numerous data sources and documentation of their integration steps while doing so. In this paper, we present the package Multipath, and we describe how it can be used for data integration and tracking pathway modifications. We present a multilayer model built from the Wnt Pathway as a demonstration. MDPI 2020-12-21 /pmc/articles/PMC7766416/ /pubmed/33371258 http://dx.doi.org/10.3390/biology9120483 Text en © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Technical Note Hammoud, Zaynab Kramer, Frank Multipath: An R Package to Generate Integrated Reproducible Pathway Models |
title | Multipath: An R Package to Generate Integrated Reproducible Pathway Models |
title_full | Multipath: An R Package to Generate Integrated Reproducible Pathway Models |
title_fullStr | Multipath: An R Package to Generate Integrated Reproducible Pathway Models |
title_full_unstemmed | Multipath: An R Package to Generate Integrated Reproducible Pathway Models |
title_short | Multipath: An R Package to Generate Integrated Reproducible Pathway Models |
title_sort | multipath: an r package to generate integrated reproducible pathway models |
topic | Technical Note |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7766416/ https://www.ncbi.nlm.nih.gov/pubmed/33371258 http://dx.doi.org/10.3390/biology9120483 |
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