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
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
4246-4247Subventions
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.