Article (Périodiques scientifiques)
Systems biology graphical notation markup language (SBGNML) version 0.3.
Bergmann, Frank T; Czauderna, Tobias; Dogrusoz, Ugur et al.
2020In Journal of Integrative Bioinformatics, 17 (2-3)
Peer reviewed vérifié par ORBi
 

Documents


Texte intégral
10.1515_jib-2020-0016.pdf
Postprint Auteur (1.18 MB)
Télécharger

Tous les documents dans ORBilu sont protégés par une licence d'utilisation.

Envoyer vers



Détails



Mots-clés :
SBGN; biological process diagrams; network biology; pathway diagram; systems biology; visualization; Computational Biology; Metadata; Models, Biological; Software; Programming Languages; Systems Biology; Medicine (all); pathway diagram; General Medicine
Résumé :
[en] 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.
Disciplines :
Biotechnologie
Auteur, co-auteur :
Bergmann, Frank T ;  BioQUANT/COS, Heidelberg University, INF 267, Heidelberg, 69120, Germany
Czauderna, Tobias ;  Faculty of Information Technology, Monash University, Melbourne, Australia
Dogrusoz, Ugur ;  Computer Engineering Department, Bilkent University, Ankara, 06800, Turkey ; i-Vis Research Lab, Bilkent University, Ankara, 06800, Turkey
Rougny, Adrien ;  Biotechnology Research Institute for Drug Discovery, AIST, Tokyo, 135-0064, Japan ; Computational Bio Big-Data Open Innovation Laboratory (CBBD-OIL), AIST, Tokyo, 169-8555, Japan
Dräger, Andreas ;  Computational Systems Biology of Infection and Antimicrobial-Resistant Pathogens, Institute for Bioinformatics and Medical Informatics (IBMI), Tübingen, 72076, Germany ; Department of Computer Science, University of Tübingen, Tübingen, 72076, Germany ; German Center for Infection Research (DZIF), Partner Site Tübingen, Tübingen, 72076, Germany
Touré, Vasundra ;  Department of Biology, Norwegian University of Science and Technology (NTNU), Trondheim, Norway
MAZEIN, Alexander  ;  University of Luxembourg ; European Institute for Systems Biology and Medicine, CIRI UMR5308, CNRS-ENS-UCBL-INSERM, Université de Lyon, Lyon, 69007, France
Blinov, Michael L ;  Center for Cell Analysis and Modeling, UConn Health, Farmington, CT, 06030, USA
Luna, Augustin ;  cBio Center, Department of Data Sciences, Dana-Farber Cancer Institute, Boston, MA, 02215, USA ; Department of Cell Biology, Harvard Medical School, Boston, MA, 02115, USA
Co-auteurs externes :
yes
Langue du document :
Anglais
Titre :
Systems biology graphical notation markup language (SBGNML) version 0.3.
Date de publication/diffusion :
22 juin 2020
Titre du périodique :
Journal of Integrative Bioinformatics
eISSN :
1613-4516
Maison d'édition :
NLM (Medline), Allemagne
Volume/Tome :
17
Fascicule/Saison :
2-3
Peer reviewed :
Peer reviewed vérifié par ORBi
Disponible sur ORBilu :
depuis le 20 novembre 2023

Statistiques


Nombre de vues
38 (dont 0 Unilu)
Nombre de téléchargements
20 (dont 0 Unilu)

citations Scopus®
 
15
citations Scopus®
sans auto-citations
7
OpenCitations
 
17
citations OpenAlex
 
29
citations WoS
 
18

Bibliographie


Publications similaires



Contacter ORBilu