Systems biology graphical notation markup language (SBGNML) version 0.3

This document defines Version 0.3 Markup Language (ML) support for the Systems Biology Graphical Notation (SBGN), a set of three complementary visual languages developed for biochemists, modelers, and computer scientists. SBGN aims at representing networks of biochemical interactions in a standard,...

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Main Authors: Bergmann Frank T., Czauderna Tobias, Dogrusoz Ugur, Rougny Adrien, Dräger Andreas, Touré Vasundra, Mazein Alexander, Blinov Michael L., Luna Augustin
Format: Article
Language:English
Published: De Gruyter 2020-06-01
Series:Journal of Integrative Bioinformatics
Subjects:
Online Access:https://doi.org/10.1515/jib-2020-0016
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spelling doaj-f62318a5df25471a98b3f21d09eb1c762021-09-06T19:40:33ZengDe GruyterJournal of Integrative Bioinformatics1613-45162020-06-01172-310.1515/jib-2020-0016jib-2020-0016Systems biology graphical notation markup language (SBGNML) version 0.3Bergmann Frank T.0Czauderna Tobias1Dogrusoz Ugur2Rougny Adrien3Dräger Andreas4Touré Vasundra5Mazein Alexander6Blinov Michael L.7Luna Augustin8BioQUANT/COS, Heidelberg University, INF 267, Heidelberg, 69120, GermanyFaculty of Information Technology, Monash University, Melbourne, AustraliaComputer Engineering Department, Bilkent University, Ankara, 06800, TurkeyBiotechnology Research Institute for Drug Discovery, AIST, Tokyo, 135-0064, JapanComputational Systems Biology of Infection and Antimicrobial-Resistant Pathogens, Institute for Bioinformatics and Medical Informatics (IBMI), Tübingen, 72076, GermanyDepartment of Biology, Norwegian University of Science and Technology (NTNU), Trondheim, NorwayLuxembourg Centre for Systems Biomedicine, University of Luxembourg, Belvaux, L-4367, LuxembourgCenter for Cell Analysis and Modeling, UConn Health, Farmington, CT, 06030, USAcBio Center, Department of Data Sciences, Dana–Farber Cancer Institute, Boston, MA, 02215, USAThis document defines Version 0.3 Markup Language (ML) support for the Systems Biology Graphical Notation (SBGN), a set of three complementary visual languages developed for biochemists, modelers, and computer scientists. SBGN aims at representing networks of biochemical interactions in a standard, unambiguous way to foster efficient and accurate representation, visualization, storage, exchange, and reuse of information on all kinds of biological knowledge, from gene regulation, to metabolism, to cellular signaling. SBGN is defined neutrally to programming languages and software encoding; however, it is oriented primarily towards allowing models to be encoded using XML, the eXtensible Markup Language. The notable changes from the previous version include the addition of attributes for better specify metadata about maps, as well as support for multiple maps, sub-maps, colors, and annotations. These changes enable a more efficient exchange of data to other commonly used systems biology formats (e. g., BioPAX and SBML) and between tools supporting SBGN (e. g., CellDesigner, Newt, Krayon, SBGN-ED, STON, cd2sbgnml, and MINERVA). More details on SBGN and related software are available at http://sbgn.org. With this effort, we hope to increase the adoption of SBGN in bioinformatics tools, ultimately enabling more researchers to visualize biological knowledge in a precise and unambiguous manner.https://doi.org/10.1515/jib-2020-0016biological process diagramsnetwork biology; pathway diagramsbgnsystems biologyvisualization
collection DOAJ
language English
format Article
sources DOAJ
author Bergmann Frank T.
Czauderna Tobias
Dogrusoz Ugur
Rougny Adrien
Dräger Andreas
Touré Vasundra
Mazein Alexander
Blinov Michael L.
Luna Augustin
spellingShingle Bergmann Frank T.
Czauderna Tobias
Dogrusoz Ugur
Rougny Adrien
Dräger Andreas
Touré Vasundra
Mazein Alexander
Blinov Michael L.
Luna Augustin
Systems biology graphical notation markup language (SBGNML) version 0.3
Journal of Integrative Bioinformatics
biological process diagrams
network biology; pathway diagram
sbgn
systems biology
visualization
author_facet Bergmann Frank T.
Czauderna Tobias
Dogrusoz Ugur
Rougny Adrien
Dräger Andreas
Touré Vasundra
Mazein Alexander
Blinov Michael L.
Luna Augustin
author_sort Bergmann Frank T.
title Systems biology graphical notation markup language (SBGNML) version 0.3
title_short Systems biology graphical notation markup language (SBGNML) version 0.3
title_full Systems biology graphical notation markup language (SBGNML) version 0.3
title_fullStr Systems biology graphical notation markup language (SBGNML) version 0.3
title_full_unstemmed Systems biology graphical notation markup language (SBGNML) version 0.3
title_sort systems biology graphical notation markup language (sbgnml) version 0.3
publisher De Gruyter
series Journal of Integrative Bioinformatics
issn 1613-4516
publishDate 2020-06-01
description This document defines Version 0.3 Markup Language (ML) support for the Systems Biology Graphical Notation (SBGN), a set of three complementary visual languages developed for biochemists, modelers, and computer scientists. SBGN aims at representing networks of biochemical interactions in a standard, unambiguous way to foster efficient and accurate representation, visualization, storage, exchange, and reuse of information on all kinds of biological knowledge, from gene regulation, to metabolism, to cellular signaling. SBGN is defined neutrally to programming languages and software encoding; however, it is oriented primarily towards allowing models to be encoded using XML, the eXtensible Markup Language. The notable changes from the previous version include the addition of attributes for better specify metadata about maps, as well as support for multiple maps, sub-maps, colors, and annotations. These changes enable a more efficient exchange of data to other commonly used systems biology formats (e. g., BioPAX and SBML) and between tools supporting SBGN (e. g., CellDesigner, Newt, Krayon, SBGN-ED, STON, cd2sbgnml, and MINERVA). More details on SBGN and related software are available at http://sbgn.org. With this effort, we hope to increase the adoption of SBGN in bioinformatics tools, ultimately enabling more researchers to visualize biological knowledge in a precise and unambiguous manner.
topic biological process diagrams
network biology; pathway diagram
sbgn
systems biology
visualization
url https://doi.org/10.1515/jib-2020-0016
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