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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...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2011
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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. |
format | Online Article Text |
id | pubmed-3137220 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2011 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
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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