Draft:SysMod (Systems Modeling)

  • Comment: Needs independent sourcing (not co-written by the conference's founders). Chaotic Enby (talk · contribs) 17:48, 8 October 2024 (UTC)

Computational Modeling of Biological Systems community of the ICSB
EndsJuly 10, 2016 (2016-07-10)
FrequencyAnnually
Location(s)Calgary, Alberta, Canada (2028)

TBD (2027)

Washington, D.C., United States (2026)

Liverpool, England, United Kingdom (2025)

Montreal, Quebec, Canada (2024)

Lyon, France (2023)

Madison, Wisconsin, United States (2022)

Virtual event (2021)

Virtual event (2020)

Basel, Switzerland (2019)

Chicago, Illinois, United States (2018)

Prague, Czech Republic (2017)

Orlando, Florida, United States (2016)
Years active8
Inaugurated 2016 (2016-07]09)
FoundersNicolas Le Novère, Andreas Dräger, Jonathan Karr
Previous eventISMB 2024
MembersInternational Society for Computational Biology
Websitesysmod.info

SysMod (Systems Modeling) is an annual meeting dedicated to the computational modeling of biological systems. It is part of the Intelligent Systems for Molecular Biology (ISMB) conference.[1][2] and the European Conference on Computational Biology (ECCB)[3], leading international bioinformatics and computational biology events. SysMod focuses on mechanistic modeling and causal understanding of biological functions at all scales, from viruses and individual cells and tissues up to integrated host-microbita simulations. It aims to channel the development of systems biology by bringing together scientists from diverse fields, including wet-lab and dry-lab researchers, and fostering their exchange.[4] SysMod usually comprises a one-day meeting at varying places internationally, with keynote talks, lightning speeches, and poster awards.

  1. ^ "About ISMB".
  2. ^ "Public Info".
  3. ^ "Home - Ismb/Eccb 2023".
  4. ^ Puniya, Bhanwar Lal; Verma, Meghna; Damiani, Chiara; Bakr, Shaimaa; Dräger, Andreas (2024). "Perspectives on computational modeling of biological systems and the significance of the SysMod community". Bioinformatics Advances. pp. vbae090. doi:10.1093/bioadv/vbae090. ISSN 2635-0041. PMC 11213628. PMID 38948011. Retrieved 2024-07-29.