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CyKEGGParser: tailoring KEGG pathways to fit into systems biology analysis workflows

The KEGG pathway database is a widely accepted source for biomolecular pathway maps. In this paper we present the CyKEGGParser app ( http://apps.cytoscape.org/apps/cykeggparser) for Cytoscape 3 that allows manipulation with KEGG pathway maps. Along with basic functionalities for pathway retrieval, v...

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Detalles Bibliográficos
Autores principales: Nersisyan, Lilit, Samsonyan, Ruben, Arakelyan, Arsen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: F1000Research 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4215754/
https://www.ncbi.nlm.nih.gov/pubmed/25383185
http://dx.doi.org/10.12688/f1000research.4410.2
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author Nersisyan, Lilit
Samsonyan, Ruben
Arakelyan, Arsen
author_facet Nersisyan, Lilit
Samsonyan, Ruben
Arakelyan, Arsen
author_sort Nersisyan, Lilit
collection PubMed
description The KEGG pathway database is a widely accepted source for biomolecular pathway maps. In this paper we present the CyKEGGParser app ( http://apps.cytoscape.org/apps/cykeggparser) for Cytoscape 3 that allows manipulation with KEGG pathway maps. Along with basic functionalities for pathway retrieval, visualization and export in KGML and BioPAX formats, the app provides unique features for computer-assisted adjustment of inconsistencies in KEGG pathway KGML files and generation of tissue- and protein-protein interaction specific pathways. We demonstrate that using biological context-specific KEGG pathways created with CyKEGGParser makes systems biology analysis more sensitive and appropriate compared to original pathways.
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spelling pubmed-42157542014-11-06 CyKEGGParser: tailoring KEGG pathways to fit into systems biology analysis workflows Nersisyan, Lilit Samsonyan, Ruben Arakelyan, Arsen F1000Res Software Tool The KEGG pathway database is a widely accepted source for biomolecular pathway maps. In this paper we present the CyKEGGParser app ( http://apps.cytoscape.org/apps/cykeggparser) for Cytoscape 3 that allows manipulation with KEGG pathway maps. Along with basic functionalities for pathway retrieval, visualization and export in KGML and BioPAX formats, the app provides unique features for computer-assisted adjustment of inconsistencies in KEGG pathway KGML files and generation of tissue- and protein-protein interaction specific pathways. We demonstrate that using biological context-specific KEGG pathways created with CyKEGGParser makes systems biology analysis more sensitive and appropriate compared to original pathways. F1000Research 2014-08-14 /pmc/articles/PMC4215754/ /pubmed/25383185 http://dx.doi.org/10.12688/f1000research.4410.2 Text en Copyright: © 2014 Nersisyan L et al. http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution Licence, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. http://creativecommons.org/publicdomain/zero/1.0/ Data associated with the article are available under the terms of the Creative Commons Zero "No rights reserved" data waiver (CC0 1.0 Public domain dedication).
spellingShingle Software Tool
Nersisyan, Lilit
Samsonyan, Ruben
Arakelyan, Arsen
CyKEGGParser: tailoring KEGG pathways to fit into systems biology analysis workflows
title CyKEGGParser: tailoring KEGG pathways to fit into systems biology analysis workflows
title_full CyKEGGParser: tailoring KEGG pathways to fit into systems biology analysis workflows
title_fullStr CyKEGGParser: tailoring KEGG pathways to fit into systems biology analysis workflows
title_full_unstemmed CyKEGGParser: tailoring KEGG pathways to fit into systems biology analysis workflows
title_short CyKEGGParser: tailoring KEGG pathways to fit into systems biology analysis workflows
title_sort cykeggparser: tailoring kegg pathways to fit into systems biology analysis workflows
topic Software Tool
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4215754/
https://www.ncbi.nlm.nih.gov/pubmed/25383185
http://dx.doi.org/10.12688/f1000research.4410.2
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