10.5281/zenodo.4245269
https://zenodo.org/records/4245269
oai:zenodo.org:4245269
Andreas Dräger
Andreas Dräger
0000-0002-1240-5553
University of Tübingen
Tomáš Helikar
Tomáš Helikar
0000-0003-3653-1906
University of Nebraska, Lincoln
Matteo Barberis
Matteo Barberis
0000-0001-5640-7422
University of Surrey
Marc Birtwistle
Marc Birtwistle
0000-0002-0341-0705
Clemson University
Laurence Calzone
Laurence Calzone
0000-0002-7835-1148
Institut Curie
Claudine Chaouiya
Claudine Chaouiya
0000-0003-2350-0756
Aix-Marseille Université
Jan Hasenauer
Jan Hasenauer
0000-0002-4935-3312
University of Bonn
Jonathan R. Karr
Jonathan R. Karr
0000-0002-2605-5080
Icahn School of Medicine at Mount Sinai
Anna Niarakis
Anna Niarakis
0000-0002-9687-7426
University of Paris-Saclay
María Rodríguez Martínez
María Rodríguez Martínez
0000-0003-3766-4233
IBM Research Europe
Julio Saez-Rodriguez
Julio Saez-Rodriguez
0000-0002-8552-8976
Heidelberg University
Juilee Thakar
Juilee Thakar
0000-0003-4479-4183
University of Rochester
SysMod: the ISCB community for data-driven computational modelling and multi-scale analysis of biological systems
Zenodo
2020
SysMod
Computational Modelling
ISMB
ECCB
Conference
Data-driven modelling
Multi-scale modelling
Diane E. Kovats
Diane E. Kovats
0000-0003-0896-1642
ISCB
Steven Leard
Steven Leard
ISCB
Nicolas Gambardella Le Novère
Nicolas Gambardella Le Novère
0000-0002-6309-7327
aScistance Ltd
Libera Lo Presti
Libera Lo Presti
University of Tübingen
2020-10-31
eng
10.1093/bioinformatics/btab229
10.5281/zenodo.4245268
Creative Commons Attribution 4.0 International
Summary: Computational models of biological systems can exploit on a broad range of rapidly developing approaches, including novel experimental approaches, bioinformatics data analysis, emerging modelling paradigms, data standards, and algorithms. A discussion about the most recent advances among experts from various domains is crucial to foster data-driven computational modelling and its growing use in assessing and predicting the behaviour of biological systems. Intending to encourage the development of tools, approaches, and predictive models, and to deepen our understanding of biological systems, the Community of Special Interest (COSI) was launched in Computational Modelling of Biological Systems (SysMod) in 2016. SysMod’s main activity is an annual meeting at the Intelligent Systems for Molecular Biology (ISMB) conference, which brings together computer scientists, biologists, mathematicians, engineers, computational and systems biologists. In the five years since its inception, SysMod has evolved into a dynamic and expanding community as the increasing number of contributions and participants illustrate. SysMod maintains several online resources to facilitate interaction among the community members, including an online forum, a calendar of relevant meetings, and a YouTube channel with talks and lectures of interest for the modelling community. Since more than half a decade, the growing interest in computational systems modelling and multi-scale data integration has continued to inspire and support the SysMod community. Its members get progressively more involved and actively contribute not only to the annual COSI meeting but also to several related community workshops and meetings, which focus on specific topics, including particular techniques for computational modelling or standardisation efforts.
Contact: sysmod-coord@googlegroups.com.
This article appeared in the journal Bioinformatics at https://doi.org/10.1093/bioinformatics/btab229.