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The Biological Connection Markup Language: a SBGN-compliant format for visualization, filtering and analysis of biological pathways

Motivation: Many models and analysis of signaling pathways have been proposed. However, neither of them takes into account that a biological pathway is not a fixed system, but instead it depends on the organism, tissue and cell type as well as on physiological, pathological and experimental conditio...

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Autores principales: Beltrame, Luca, Calura, Enrica, Popovici, Razvan R., Rizzetto, Lisa, Guedez, Damariz Rivero, Donato, Michele, Romualdi, Chiara, Draghici, Sorin, Cavalieri, Duccio
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2011
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3137220/
https://www.ncbi.nlm.nih.gov/pubmed/21653523
http://dx.doi.org/10.1093/bioinformatics/btr339
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author Beltrame, Luca
Calura, Enrica
Popovici, Razvan R.
Rizzetto, Lisa
Guedez, Damariz Rivero
Donato, Michele
Romualdi, Chiara
Draghici, Sorin
Cavalieri, Duccio
author_facet Beltrame, Luca
Calura, Enrica
Popovici, Razvan R.
Rizzetto, Lisa
Guedez, Damariz Rivero
Donato, Michele
Romualdi, Chiara
Draghici, Sorin
Cavalieri, Duccio
author_sort Beltrame, Luca
collection PubMed
description Motivation: Many models and analysis of signaling pathways have been proposed. However, neither of them takes into account that a biological pathway is not a fixed system, but instead it depends on the organism, tissue and cell type as well as on physiological, pathological and experimental conditions. Results: The Biological Connection Markup Language (BCML) is a format to describe, annotate and visualize pathways. BCML is able to store multiple information, permitting a selective view of the pathway as it exists and/or behave in specific organisms, tissues and cells. Furthermore, BCML can be automatically converted into data formats suitable for analysis and into a fully SBGN-compliant graphical representation, making it an important tool that can be used by both computational biologists and ‘wet lab’ scientists. Availability and implementation: The XML schema and the BCML software suite are freely available under the LGPL for download at http://bcml.dc-atlas.net. They are implemented in Java and supported on MS Windows, Linux and OS X. Contact: duccio.cavalieri@unifi.it; sorin@wayne.edu Supplementary information: Supplementary data are available at Bioinformatics online.
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spelling pubmed-31372202011-07-15 The Biological Connection Markup Language: a SBGN-compliant format for visualization, filtering and analysis of biological pathways Beltrame, Luca Calura, Enrica Popovici, Razvan R. Rizzetto, Lisa Guedez, Damariz Rivero Donato, Michele Romualdi, Chiara Draghici, Sorin Cavalieri, Duccio Bioinformatics Original Papers Motivation: Many models and analysis of signaling pathways have been proposed. However, neither of them takes into account that a biological pathway is not a fixed system, but instead it depends on the organism, tissue and cell type as well as on physiological, pathological and experimental conditions. Results: The Biological Connection Markup Language (BCML) is a format to describe, annotate and visualize pathways. BCML is able to store multiple information, permitting a selective view of the pathway as it exists and/or behave in specific organisms, tissues and cells. Furthermore, BCML can be automatically converted into data formats suitable for analysis and into a fully SBGN-compliant graphical representation, making it an important tool that can be used by both computational biologists and ‘wet lab’ scientists. Availability and implementation: The XML schema and the BCML software suite are freely available under the LGPL for download at http://bcml.dc-atlas.net. They are implemented in Java and supported on MS Windows, Linux and OS X. Contact: duccio.cavalieri@unifi.it; sorin@wayne.edu Supplementary information: Supplementary data are available at Bioinformatics online. Oxford University Press 2011-08-01 2011-06-07 /pmc/articles/PMC3137220/ /pubmed/21653523 http://dx.doi.org/10.1093/bioinformatics/btr339 Text en © The Author(s) 2011. Published by Oxford University Press. http://creativecommons.org/licenses/by-nc/2.5 This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/2.5), which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Papers
Beltrame, Luca
Calura, Enrica
Popovici, Razvan R.
Rizzetto, Lisa
Guedez, Damariz Rivero
Donato, Michele
Romualdi, Chiara
Draghici, Sorin
Cavalieri, Duccio
The Biological Connection Markup Language: a SBGN-compliant format for visualization, filtering and analysis of biological pathways
title The Biological Connection Markup Language: a SBGN-compliant format for visualization, filtering and analysis of biological pathways
title_full The Biological Connection Markup Language: a SBGN-compliant format for visualization, filtering and analysis of biological pathways
title_fullStr The Biological Connection Markup Language: a SBGN-compliant format for visualization, filtering and analysis of biological pathways
title_full_unstemmed The Biological Connection Markup Language: a SBGN-compliant format for visualization, filtering and analysis of biological pathways
title_short The Biological Connection Markup Language: a SBGN-compliant format for visualization, filtering and analysis of biological pathways
title_sort biological connection markup language: a sbgn-compliant format for visualization, filtering and analysis of biological pathways
topic Original Papers
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3137220/
https://www.ncbi.nlm.nih.gov/pubmed/21653523
http://dx.doi.org/10.1093/bioinformatics/btr339
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