ANISE: an application to design mechanobiology simulations of planar epithelia.


Journal

Bioinformatics (Oxford, England)
ISSN: 1367-4811
Titre abrégé: Bioinformatics
Pays: England
ID NLM: 9808944

Informations de publication

Date de publication:
02 09 2022
Historique:
received: 13 04 2022
revised: 07 07 2022
pubmed: 21 7 2022
medline: 15 11 2022
entrez: 20 7 2022
Statut: ppublish

Résumé

TiFoSi (Tissues Forces & Signaling) is an efficient computational tool for performing mechanobiology simulations of planar epithelia. A drawback of this tool is that it relies on an XML configuration file (input data) that can be cumbersome to set up and/or decode due to the endless possibilities of the software. Moreover, some modeling know-how is needed in order to provide equations that describe gene regulatory interactions. These factors limit the usability of this tool for users with a weak computational and/or mathematical background. Here, we introduce ANISE (grAphical coNfigurator of TiFoSi In Silico Experiments), a web-app that allows to easily setup the configuration of mechanobiology simulations using TiFoSi. The application covers all the configuration modules in TiFoSi comprehensively (from basic to advanced editing options) and uses a graphical approach (e.g. to build the modeling equations of gene regulatory networks). http://github.com/lsym-uveg/anise (server: http://lsymserver.uv.es/lsym/ANISE).

Identifiants

pubmed: 35856714
pii: 6646983
doi: 10.1093/bioinformatics/btac511
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

4246-4247

Subventions

Organisme : Spanish Ministry of Science and Innovation
ID : PID2019-105566GB-I00
Organisme : LifeHUB Research Network

Informations de copyright

© The Author(s) 2022. Published by Oxford University Press. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.

Auteurs

Ángel Rodríguez Cerro (Á)

Instituto de Robótica y de Tecnologías de la Información y la Comunicación (IRTIC), Universitat de València, C/Catedrático José Beltrán, 2 46980 Paterna (Valencia), Spain.

Sergio Sancho (S)

Instituto de Robótica y de Tecnologías de la Información y la Comunicación (IRTIC), Universitat de València, C/Catedrático José Beltrán, 2 46980 Paterna (Valencia), Spain.

Míriam Rodríguez (M)

Instituto de Robótica y de Tecnologías de la Información y la Comunicación (IRTIC), Universitat de València, C/Catedrático José Beltrán, 2 46980 Paterna (Valencia), Spain.

Miguel A Gamón (MA)

Instituto de Robótica y de Tecnologías de la Información y la Comunicación (IRTIC), Universitat de València, C/Catedrático José Beltrán, 2 46980 Paterna (Valencia), Spain.

Léna Guitou (L)

Institute for Integrative Systems Biology (I2SysBio), CSIC-UV, C/Catedrático Agustín Escardino Benlloch, 9 46980 Paterna (Valencia), Spain.

Rafael J Martínez (RJ)

Instituto de Robótica y de Tecnologías de la Información y la Comunicación (IRTIC), Universitat de València, C/Catedrático José Beltrán, 2 46980 Paterna (Valencia), Spain.

Javier Buceta (J)

Institute for Integrative Systems Biology (I2SysBio), CSIC-UV, C/Catedrático Agustín Escardino Benlloch, 9 46980 Paterna (Valencia), Spain.

Articles similaires

Selecting optimal software code descriptors-The case of Java.

Yegor Bugayenko, Zamira Kholmatova, Artem Kruglov et al.
1.00
Software Algorithms Programming Languages

Exploring blood-brain barrier passage using atomic weighted vector and machine learning.

Yoan Martínez-López, Paulina Phoobane, Yanaima Jauriga et al.
1.00
Blood-Brain Barrier Machine Learning Humans Support Vector Machine Software
Cephalometry Humans Anatomic Landmarks Software Internet
Animals Lung India Sheep Transcriptome

Classifications MeSH