Systems biology graphical notation markup language (SBGNML) version 0.3

Author:

Bergmann Frank T.1ORCID,Czauderna Tobias2ORCID,Dogrusoz Ugur34ORCID,Rougny Adrien56ORCID,Dräger Andreas789ORCID,Touré Vasundra10ORCID,Mazein Alexander1112ORCID,Blinov Michael L.13ORCID,Luna Augustin1415ORCID

Affiliation:

1. BioQUANT/COS , Heidelberg University , INF 267 , Heidelberg , 69120 , Germany

2. Faculty of Information Technology , Monash University , Melbourne , Australia

3. Computer Engineering Department , Bilkent University , Ankara , 06800 , Turkey

4. i-Vis Research Lab , Bilkent University , Ankara , 06800 , Turkey

5. Biotechnology Research Institute for Drug Discovery , AIST , Tokyo , 135-0064 , Japan

6. Computational Bio Big-Data Open Innovation Laboratory (CBBD-OIL) , AIST , Tokyo , 169-8555 , Japan

7. Computational Systems Biology of Infection and Antimicrobial-Resistant Pathogens , Institute for Bioinformatics and Medical Informatics (IBMI) , Tübingen , 72076 , Germany

8. Department of Computer Science , University of Tübingen , Tübingen , 72076 , Germany

9. German Center for Infection Research (DZIF), Partner Site Tübingen , Tübingen, 72076 , Germany

10. Department of Biology , Norwegian University of Science and Technology (NTNU) , Trondheim , Norway

11. Luxembourg Centre for Systems Biomedicine , University of Luxembourg , Belvaux , L-4367 , Luxembourg

12. European Institute for Systems Biology and Medicine , CIRI UMR5308, CNRS-ENS-UCBL-INSERM, Université de Lyon , Lyon , 69007 , France

13. Center for Cell Analysis and Modeling , UConn Health , Farmington , CT, 06030 , USA

14. cBio Center , Department of Data Sciences , Dana–Farber Cancer Institute , Boston , MA , 02215 , USA

15. Department of Cell Biology , Harvard Medical School , Boston , MA, 02115 , USA

Abstract

Abstract 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.

Publisher

Walter de Gruyter GmbH

Subject

General Medicine

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