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SysMod: the ISCB community for data-driven computational modelling and multi-scale analysis of biological systems

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 va...

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Autores principales: Dräger, Andreas, Helikar, Tomáš, Barberis, Matteo, Birtwistle, Marc, Calzone, Laurence, Chaouiya, Claudine, Hasenauer, Jan, Karr, Jonathan R, Niarakis, Anna, Rodríguez Martínez, María, Saez-Rodriguez, Julio, Thakar, Juilee
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8570808/
https://www.ncbi.nlm.nih.gov/pubmed/34179955
http://dx.doi.org/10.1093/bioinformatics/btab229
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author Dräger, Andreas
Helikar, Tomáš
Barberis, Matteo
Birtwistle, Marc
Calzone, Laurence
Chaouiya, Claudine
Hasenauer, Jan
Karr, Jonathan R
Niarakis, Anna
Rodríguez Martínez, María
Saez-Rodriguez, Julio
Thakar, Juilee
author_facet Dräger, Andreas
Helikar, Tomáš
Barberis, Matteo
Birtwistle, Marc
Calzone, Laurence
Chaouiya, Claudine
Hasenauer, Jan
Karr, Jonathan R
Niarakis, Anna
Rodríguez Martínez, María
Saez-Rodriguez, Julio
Thakar, Juilee
author_sort Dräger, Andreas
collection PubMed
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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spelling pubmed-85708082021-11-08 SysMod: the ISCB community for data-driven computational modelling and multi-scale analysis of biological systems Dräger, Andreas Helikar, Tomáš Barberis, Matteo Birtwistle, Marc Calzone, Laurence Chaouiya, Claudine Hasenauer, Jan Karr, Jonathan R Niarakis, Anna Rodríguez Martínez, María Saez-Rodriguez, Julio Thakar, Juilee Bioinformatics Ismb 2021 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. Oxford University Press 2021-06-24 /pmc/articles/PMC8570808/ /pubmed/34179955 http://dx.doi.org/10.1093/bioinformatics/btab229 Text en © The Author(s) 2021. Published by Oxford University Press. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com
spellingShingle Ismb 2021
Dräger, Andreas
Helikar, Tomáš
Barberis, Matteo
Birtwistle, Marc
Calzone, Laurence
Chaouiya, Claudine
Hasenauer, Jan
Karr, Jonathan R
Niarakis, Anna
Rodríguez Martínez, María
Saez-Rodriguez, Julio
Thakar, Juilee
SysMod: the ISCB community for data-driven computational modelling and multi-scale analysis of biological systems
title SysMod: the ISCB community for data-driven computational modelling and multi-scale analysis of biological systems
title_full SysMod: the ISCB community for data-driven computational modelling and multi-scale analysis of biological systems
title_fullStr SysMod: the ISCB community for data-driven computational modelling and multi-scale analysis of biological systems
title_full_unstemmed SysMod: the ISCB community for data-driven computational modelling and multi-scale analysis of biological systems
title_short SysMod: the ISCB community for data-driven computational modelling and multi-scale analysis of biological systems
title_sort sysmod: the iscb community for data-driven computational modelling and multi-scale analysis of biological systems
topic Ismb 2021
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8570808/
https://www.ncbi.nlm.nih.gov/pubmed/34179955
http://dx.doi.org/10.1093/bioinformatics/btab229
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