Promoting coordinated development of community-based information standards for modeling in biology: the COMBINE initiative

Abstract:

The Computational Modeling in Biology Network (COMBINE) is a consortium of groups involved in the development of open community standards and formats used in computational modeling in biology. COMBINE’s aim is to act as a coordinator, facilitator, and resource for different standardization efforts whose domains of use cover related areas of the computational biology space. In this perspective article, we summarize COMBINE, its general organization, and the community standards and other efforts involved in it. Our goals are to help guide readers toward standards that may be suitable for their research activities, as well as to direct interested readers to relevant communities where they can best expect to receive assistance in how to develop interoperable computational models.

SEEK ID: https://publications.h-its.org/publications/1126

DOI: 10.3389/fbioe.2015.00019

Research Groups: Scientific Databases and Visualisation

Publication type: Journal

Journal: Frontiers in Bioengineering and Biotechnology

Citation: Front. Bioeng. Biotechnol. 3

Date Published: 24th Feb 2015

URL: http://www.frontiersin.org/computational_physiology_and_medicine/10.3389/fbioe.2015.00019/abstract

Registered Mode: imported from a bibtex file

Authors: Michael Hucka, David Phillip Nickerson, Gary Bader, Frank T Bergmann, Jonathan Cooper, Emek Demir, Alan Garny, Martin Golebiewski, Chris John Myers, Falk Schreiber, Dagmar Waltemath, Nicolas Le Novère

Citation
Hucka, M., Nickerson, D. P., Bader, G. D., Bergmann, F. T., Cooper, J., Demir, E., Garny, A., Golebiewski, M., Myers, C. J., Schreiber, F., Waltemath, D., & Le Novère, N. (2015). Promoting Coordinated Development of Community-Based Information Standards for Modeling in Biology: The COMBINE Initiative. In Frontiers in Bioengineering and Biotechnology (Vol. 3). Frontiers Media SA. https://doi.org/10.3389/fbioe.2015.00019
Activity

Views: 5633

Created: 31st Mar 2020 at 21:06

Last updated: 5th Mar 2024 at 21:24

help Tags

This item has not yet been tagged.

help Attributions

None

Powered by
(v.1.14.2)
Copyright © 2008 - 2023 The University of Manchester and HITS gGmbH