Aeon 2021: Bifurcation Decision Trees in Boolean Networks
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14330%2F21%3A00124485" target="_blank" >RIV/00216224:14330/21:00124485 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1007/978-3-030-85633-5_14" target="_blank" >http://dx.doi.org/10.1007/978-3-030-85633-5_14</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-030-85633-5_14" target="_blank" >10.1007/978-3-030-85633-5_14</a>
Alternative languages
Result language
angličtina
Original language name
Aeon 2021: Bifurcation Decision Trees in Boolean Networks
Original language description
Aeon is a recent tool which enables efficient analysis of long-term behaviour of asynchronous Boolean networks with unknown parameters. In this tool paper, we present a novel major release of Aeon (Aeon 2021) which introduces substantial new features compared to the original version. These include (i) enhanced static analysis functionality that verifies integrity of the Boolean network with its regulatory graph; (ii) state-space visualisation of individual attractors; (iii) stability analysis of network variables with respect to parameters; and finally, (iv) a novel decision-tree based interactive visualisation module allowing the exploration of complex relationships between parameters and network behaviour. Aeon 2021 is open-source, fully compatible with SBML-qual models, and available as an online application with an independent native compute engine responsible for resource-intensive tasks. The paper artefact is available via https://doi.org/10.5281/zenodo.5008293.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2021
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
International Conference on Computational Methods in Systems Biology (CMSB 2021)
ISBN
9783030856328
ISSN
0302-9743
e-ISSN
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Number of pages
8
Pages from-to
230-237
Publisher name
Springer
Place of publication
Cham
Event location
Bordeaux
Event date
Jan 1, 2021
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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