SysMod: the ISCB community for data-driven computational modelling and multi-scale analysis of biological systems
Creators
- 1. Computational Systems Biology of Infections and Antimicrobial-Resistant Pathogens, Institute for Bioinformatics and Medical Informatics (IBMI), University of Tübingen, 72076 Thübingen, Germany
- 2. Department of Biochemistry, University of Nebraska, Lincoln, NE 68588-0664, USA
- 3. Systems Biology, School of Biosciences and Medicine, Faculty of Health and Medical Sciences, University of Surrey, Guildford GU2 7XH, Surrey, UK
- 4. Department of Chemical and Biomolecular Engineering, Clemson University, Clemson, SC 29634, USA
- 5. Institut Curie, PSL Research University, Mines Paris Tech, Inserm, U900, F-75005 Paris, France
- 6. Aix-Marseille Université, CNRS, Centrale Marseille, I2M, Marseille 2780-156, France Instituto Gulbenkian de Ciência, Oeiras 2780-156, Portugal
- 7. Interdisicplinary Research Unit Mathematics and Life Sciences, University of Bonn, Bonn 53115, Germany
- 8. Department of Genetics & Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
- 9. GenHotel, University of Evry, University of Paris-Saclay, Genopole, Évry 91025, France Lifeware Group, Inria Saclay-île de France, 91120 Palaiseau, France
- 10. IBM Research Europe, Zurich, CH–8803 Rüschlikon, Switzerland
- 11. Heidelberg University, Faculty of Medicine and Heidelberg University Hospital, Institute of Computational Biomedicine, 69120 Heidelberg, Germany
- 12. Department of Microbiology and Immunology, University of Rochester School of Medicine and Dentistry, Rochester, NY 14642, USA
Description
Computational models of biological systems can exploit 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. For more than half a decade, the growing interest in computational systems modelling and multi-scale data integration has inspired and supported the SysMod community. Its members get progressively more involved and actively contribute to the annual COSI meeting and several related community workshops and meetings, focusing on specific topics, including particular techniques for computational modelling or standardisation efforts.
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