Simulation Experiment Description Markup Language (SED-ML) Level 1 Version 3 (L1V3).
View Publication On PubMed
Export 
BiBTeXThe creation of computational simulation experiments to inform modern biological research poses challenges to reproduce, annotate, archive, and share such experiments. Efforts such as SBML or CellML standardize the formal representation of computational models in various areas of biology. The Simulation Experiment Description Markup Language (SED-ML) describes what procedures the models are subjected to, and the details of those procedures. These standards, together with further COMBINE standards, describe models sufficiently well for the reproduction of simulation studies among users and software tools. The Simulation Experiment Description Markup Language (SED-ML) is an XML-based format that encodes, for a given simulation experiment, (i) which models to use; (ii) which modifications to apply to models before simulation; (iii) which simulation procedures to run on each model; (iv) how to post-process the data; and (v) how these results should be plotted and reported. SED-ML Level 1 Version 1 (L1V1) implemented support for the encoding of basic time course simulations. SED-ML L1V2 added support for more complex types of simulations, specifically repeated tasks and chained simulation procedures. SED-ML L1V3 extends L1V2 by means to describe which datasets and subsets thereof to use within a simulation experiment.
SEEK ID: https://seek.lisym.org/publications/146
PubMed ID: 29550789
Projects: Multi-Scale Models for Personalized Liver Function Tests (LiSyM-MM-PLF)
Publication type: Not specified
Journal: J Integr Bioinform
Citation: J Integr Bioinform. 2018 Mar 19;15(1). pii: /j/jib.ahead-of-print/jib-2017-0086/jib-2017-0086.xml. doi: 10.1515/jib-2017-0086.
Date Published: 20th Mar 2018
Registered Mode: Not specified
Export PNG
Download
Submitter
Views: 2936
Created: 9th Jan 2019 at 11:03
Last updated: 8th Mar 2024 at 07:44
TagsThis item has not yet been tagged.
AttributionsNone
Related items
Projects: LiSyM PALs, Multi-Scale Models for Personalized Liver Function Tests (LiSyM-MM-PLF), LiSyM Pillar IV: Liver Function Diagnostics (LiSyM-LiFuDi), LiSyM network, LiSyM-Krebs Partnering
Institutions: Humboldt-Universität zu Berlin - Institute for Theoretical Biology (ITB)
https://orcid.org/0000-0003-1725-179X
We are investigating liver metabolism and function with the help of computational models and methods.
Group Leader Dr. Matthias König
Institute for Theoretical Biology Humboldt-University Berlin Philippstraße 13, 10115 Berlin, Germany phone +49 30 2093-98435 koenigmx@hu-berlin.de https://www.livermetabolism.com
The König group works on computational modeling, data science, data management, bioinformatics methods and machine learning on ...
Liver Systems Medicine : striving to develop non-invasive methods for diagnosing and treating NAFLD by combining mathematical modeling and biological research. LiSyM, is a multidisciplinary research network, in which molecular and cell biologists, clinical researchers, pharmacologists and experts in mathematical modeling examine the liver in its entirety. LiSyM research focuses on the metabolic liver disease non-alcoholic fatty liver disease (NAFLD), which includes non-alcoholic steatohepatitis ...
Projects: LiSyM Core Infrastructure and Management (LiSyM-PD), LiSyM Pillar I: Early Metabolic Injury (LiSyM-EMI), LiSyM Pillar II: Chronic Liver Disease Progression (LiSyM-DP), LiSyM Pillar III: Regeneration and Repair in Acute-on-Chronic Liver Failure (LiSyM-ACLF), LiSyM Pillar IV: Liver Function Diagnostics (LiSyM-LiFuDi), Model Guided Pharmacotherapy In Chronic Liver Disease (LiSyM-MGP), Molecular Steatosis - Imaging & Modeling (LiSyM-MSIM), The Hedgehog Signalling Pathway (LiSyM-JGMMS), Multi-Scale Models for Personalized Liver Function Tests (LiSyM-MM-PLF), LiSyM PALs, Project Management PTJ, LiSyM network, LiSyM Scientific Leadership Team (LiSyM-LT)
Web page: https://www.lisym.org/
Dr. Matthias König (Humboldt University, Berlin) models the human liver on the computer. His simulations show the extent of individual differences in liver function and the external factors influencing it. König has shown that smoking falsifies the result of an important liver test (LiMAx). With his models, drug doses can be calculated so that they can be administered in doses that do not harm the liver.
Programme: LiSyM: Liver Systems Medicine
Public web page: https://livermetabolism.com
Start date: 1st Jan 2016
We face a crisis in reproducibility, where it is impossible to believe most of the computational results shown in conferences and papers. Recent replication efforts and theoretical considerations indicate that most published research findings in biomedical research are wrong. This is especially problematic for the translation of computational models into the clinics. Modelling standards, software, and community initiatives are fundamental for reproducibility in systems biology and systems medicine. ...
