[sed-ml-editors] Dear Bergmann, FT; Cooper, J; Le Novere,...: An Invitation to Publish your Article in American Journal of Internal Medicine

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American Journal of Internal Medicine
ISSN Online: 2330-4324, ISSN Print: 2330-4316
Current Issue: Vol.7, No.5, 2019
Dear Bergmann, FT; Cooper, J; Le Novere,...,
We came across your paper with the title "Simulation Experiment Description
Markup Language (SED-ML) Level 1 Version 2" and were very honored to have
the chance to read it. We came to believe that American Journal of Internal
Medicine is in line with your research field. Our Editorial Board would be
honored to invite you to contribute your valuable unpublished research
articles to our journal for publication.
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Title and abstract of your paper is shown below:
Title: Simulation Experiment Description Markup Language (SED-ML) Level 1
Version 2
Abstract: The number, size and complexity of computational models of
biological systems are growing at an ever increasing pace. It is imperative
to build on existing studies by reusing and adapting existing models and
parts thereof. The description of the structure of models is not sufficient
to enable the reproduction of simulation results. One also needs to
describe the procedures the models are subjected to, as recommended by the
Minimum Information About a Simulation Experiment (MIASE) guidelines. This
document presents Level 1 Version 2 of the Simulation Experiment
Description Mark-up Language (SED-ML), a computer-readable format for
encoding simulation and analysis experiments to apply to computational
models. SED-ML files are encoded in the Extensible Markup Language (XML)
and can be used in conjunction with any XML-based model encoding format,
such as CellML or SBML. A SED-ML file includes details of which models to
use, how to modify them prior to executing a simulation, which simulation
and analysis procedures to apply, which results to extract and how to
present them. Level 1 Version 2 extends the format by allowing the encoding
of repeated and chained procedures.
Regards,
Kaylee Kent
Editorial Office Assistant