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CaSiAn: a Calcium Signaling Analyzer tool.
Moein, Mahsa; Grzyb, Kamil; Gonçalves Martins, Teresa; Komoto, Shinya; Peri, Francesca; Crawford, Alexander D; Fouquier d'Herouel, Aymeric; Skupin, Alexander.
Afiliación
  • Moein M; Luxembourg Centre for Systems Biomedicine, University of Luxembourg, Belvaux L-4367, Luxembourg.
  • Grzyb K; Luxembourg Centre for Systems Biomedicine, University of Luxembourg, Belvaux L-4367, Luxembourg.
  • Gonçalves Martins T; Luxembourg Centre for Systems Biomedicine, University of Luxembourg, Belvaux L-4367, Luxembourg.
  • Komoto S; Okinawa Institute of Science and Technology Graduate University, Onna, Japan.
  • Peri F; Developmental Biology Unit, European Molecular Biology Laboratory (EMBL), Heidelberg, Germany.
  • Crawford AD; Luxembourg Centre for Systems Biomedicine, University of Luxembourg, Belvaux L-4367, Luxembourg.
  • Fouquier d'Herouel A; Luxembourg Centre for Systems Biomedicine, University of Luxembourg, Belvaux L-4367, Luxembourg.
  • Skupin A; Luxembourg Centre for Systems Biomedicine, University of Luxembourg, Belvaux L-4367, Luxembourg.
Bioinformatics ; 34(17): 3052-3054, 2018 09 01.
Article en En | MEDLINE | ID: mdl-29668830
ABSTRACT

Summary:

Ca2+ is a central second messenger in eukaryotic cells that regulates many cellular processes. Recently, we have indicated that typical Ca2+ signals are not purely oscillatory as widely assumed, but exhibit stochastic spiking with cell type and pathway specific characteristics. Here, we present the Calcium Signaling Analyzer (CaSiAn), an open source software tool that allows for quantifying these signal characteristics including individual spike properties and time course statistics in a semi-automated manner. CaSiAn provides an intuitive graphical user interface allowing experimentalists to easily process a large amount of Ca2+ signals, interactively tune peak detection, revise statistical measures and access the quantified signal properties as excel or text files. Availability and implementation CaSiAn is implemented in Java and available on Github (https//github.com/mmahsa/CaSiAn) as well as on the project page (http//r3lab.uni.lu/web/casa). Supplementary information Supplementary data are available at Bioinformatics online.
Asunto(s)

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Programas Informáticos / Señalización del Calcio Límite: Humans Idioma: En Revista: Bioinformatics Asunto de la revista: INFORMATICA MEDICA Año: 2018 Tipo del documento: Article País de afiliación: Luxemburgo

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Programas Informáticos / Señalización del Calcio Límite: Humans Idioma: En Revista: Bioinformatics Asunto de la revista: INFORMATICA MEDICA Año: 2018 Tipo del documento: Article País de afiliación: Luxemburgo