Paper Info
Title
SysMod: the ISCB community for data-driven computational modelling and multi-scale analysis of biological systems
Abstract
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.
Year
DOI
Venue
2021
10.1093/bioinformatics/btab229
BIOINFORMATICS
Keywords
DocType
Volume
Computational model,Intelligent decision support system,Data integration,Special Interest Group,Data science,Exploit,Data-driven,Computer science,Communication channel,Online forum
Conference
37
Issue
ISSN
Citations 
21
1367-4803
0
PageRank 
References 
Authors
0.34
0
12
Name
Order
Citations
PageRank
Andreas Dräger129222.16
Tomáš Helikar2747.13
Matteo Barberis3314.05
Marc Birtwistle400.34
Laurence Calzone527617.90
Claudine Chaouiya668951.82
Jan Hasenauer700.34
Jonathan R Karr8767.36
Anna Niarakis932.44
María Rodríguez Martínez1064.52
Julio Saez-Rodriguez1191167.01
Juilee Thakar1221.75