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Published September 6, 2017 | Published
Journal Article Open

SBMLPkgSpec: a LaTeX style file for SBML package specification documents

Abstract

Objective: The Systems Biology Markup Language (SBML) is a popular open format for storing and exchanging computational models in biology. The definition of SBML is captured in formal specification documents. SBMLPkgSpec is a LaTeX document style intended to fill the need for a standard format for writing such specification documents. Results: Specification documents for SBML Level 3 extensions (known as packages in SBML) are made more uniform with the use of a standard template. SBMLPkgSpec is a LaTeX class that provides a document framework for SBML Level 3 package specifications, to simplify the work of document authors while improving the overall quality of the family of SBML specifications.

Additional Information

© The Author(s) 2017. This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. Received: 23 June 2017 Accepted: 31 August 2017 Published: 6 September 2017 I thank Maciej Swat (from the EMBL European Bioinformatics Institute) for reporting problems with earlier versions of SBMLPkgSpec. I also thank all users for their informal feedback and suggestions. Finally, I thank the anonymous manuscript reviewer for their genuinely useful feedback about how to improve this paper. The author declares that he has no competing interests. SBMLPkgSpec has been developed thanks to funding from the National Institute of General Medical Sciences under grant R01 GM070923 (Principal Investigator: Michael Hucka).

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Created:
August 21, 2023
Modified:
October 17, 2023