Computational tools to investigate genetic cardiac channelopathies

The aim of this perspective article is to share with the community of ion channel scientists our thoughts and expectations regarding the increasing role that computational tools will play in the future of our field. The opinions and comments detailed here are the result of a 3-day long international...

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Autores principales: Abriel, Hugues, de Lange, Enno, Kucera, Jan P., Loussouarn, Gildas, Tarek, Mounir
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2013
Materias:
Physiology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3872783/
https://www.ncbi.nlm.nih.gov/pubmed/24421770
http://dx.doi.org/10.3389/fphys.2013.00390
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author Abriel, Hugues
de Lange, Enno
Kucera, Jan P.
Loussouarn, Gildas
Tarek, Mounir
author_facet Abriel, Hugues
de Lange, Enno
Kucera, Jan P.
Loussouarn, Gildas
Tarek, Mounir
author_sort Abriel, Hugues
collection PubMed
description The aim of this perspective article is to share with the community of ion channel scientists our thoughts and expectations regarding the increasing role that computational tools will play in the future of our field. The opinions and comments detailed here are the result of a 3-day long international exploratory workshop that took place in October 2013 and that was supported by the Swiss National Science Foundation.
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spelling pubmed-38727832014-01-13 Computational tools to investigate genetic cardiac channelopathies Abriel, Hugues de Lange, Enno Kucera, Jan P. Loussouarn, Gildas Tarek, Mounir Front Physiol Physiology The aim of this perspective article is to share with the community of ion channel scientists our thoughts and expectations regarding the increasing role that computational tools will play in the future of our field. The opinions and comments detailed here are the result of a 3-day long international exploratory workshop that took place in October 2013 and that was supported by the Swiss National Science Foundation. Frontiers Media S.A. 2013-12-26 /pmc/articles/PMC3872783/ /pubmed/24421770 http://dx.doi.org/10.3389/fphys.2013.00390 Text en Copyright © 2013 Abriel, de Lange, Kucera, Loussouarn and Tarek. http://creativecommons.org/licenses/by/3.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Physiology
Abriel, Hugues
de Lange, Enno
Kucera, Jan P.
Loussouarn, Gildas
Tarek, Mounir
Computational tools to investigate genetic cardiac channelopathies
title Computational tools to investigate genetic cardiac channelopathies
title_full Computational tools to investigate genetic cardiac channelopathies
title_fullStr Computational tools to investigate genetic cardiac channelopathies
title_full_unstemmed Computational tools to investigate genetic cardiac channelopathies
title_short Computational tools to investigate genetic cardiac channelopathies
title_sort computational tools to investigate genetic cardiac channelopathies
topic Physiology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3872783/
https://www.ncbi.nlm.nih.gov/pubmed/24421770
http://dx.doi.org/10.3389/fphys.2013.00390
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