The editors are meeting with the local organisers tonight to discuss the last details for the #COMBINE2023 schedule. #Savethedate: 5-8, October 2023, co-located with #ICSB2023. https://t.co/FBr5Q7xQWc
Interested in #SystemsBiology, #SingleCell analysis, #ImageAnalysis, #DataScience and related topics? Then check out the Bonn Conference for Mathematical Life Science, April 17-20, 2023 (https://t.co/bbooYfBrxX). 30+ invited speakers working on a broad range of important topics.
Meet us at #ICSB2022 to learn more about the COmputational MOdeling in BIology NEtwork. We work towards better standards and guidelines for modeling, transparency, reproducible results, and interoperability of tools. @andreshouse presents Wed, Oct 12 in Session 17B: WILDCARDS *.*
Not only did I attend #COMBINE2022 but I even got to present my work in the poster session. Now I am eager to go back to coding to integrate some of the feedback and I learned about other tools that might help with my work. @DraegerLab
@combine_coord@unirostock#COMBINE2022 Lin Uhrmacher pointed us to a very interesting paper on relating simulation studies by provenance using the example of WNT https://t.co/3oRyE0P10P
Jörn Starruß @JStarru@tudresden_de with an introduction to the Morpheus tool for multi-modeling and how COMBINE standards are incorporated and supported. Get in touch with the team if you want to try it out.
Judith Wodke @waltelab introduces her approach to integrating data from the @MII_Germany with other biomedical resources and simulation studies from #COMBINE in a graph-based research portal to allow for easy data exploration by clinicians and scientists.
Second keynote at #COMBINE2022 Forum by Lin Uhrmacher @unirostock, who is picking up on the issues with documenting simulation studies (even) beyond reproducibility.
#COMBINE2022 @slobentanzer talks about harmonising heterogeneous knowledge graphs to reduce preprocessing time and errors, but also to provide integrated knowledge graphs and increase interoperability. Main components of the workflow include BioLink and BioCypher.
Nicole Radde @Uni_Stuttgart: reproducible models are more often cited than nonreproducible models 👌. Her analysis is based on the reproducibility study by Tiwari et al @biomodels https://t.co/Vkqah99Lio Interesting: the diff in citation numbers cannot be explained by Journal IFs