Icy: an open bioimage informatics platform for extended reproducible research

Icy is a collaborative platform for biological image analysis that extends reproducible research principles by facilitating and stimulating the contribution and sharing of algorithm-based tools and protocols between researchers. Current research in biology uses evermore complex computational and ima...

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Veröffentlicht in:Nature methods 2012-07, Vol.9 (7), p.690-696
Hauptverfasser: de Chaumont, Fabrice, Dallongeville, Stéphane, Chenouard, Nicolas, Hervé, Nicolas, Pop, Sorin, Provoost, Thomas, Meas-Yedid, Vannary, Pankajakshan, Praveen, Lecomte, Timothée, Le Montagner, Yoann, Lagache, Thibault, Dufour, Alexandre, Olivo-Marin, Jean-Christophe
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Sprache:eng
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Zusammenfassung:Icy is a collaborative platform for biological image analysis that extends reproducible research principles by facilitating and stimulating the contribution and sharing of algorithm-based tools and protocols between researchers. Current research in biology uses evermore complex computational and imaging tools. Here we describe Icy, a collaborative bioimage informatics platform that combines a community website for contributing and sharing tools and material, and software with a high-end visual programming framework for seamless development of sophisticated imaging workflows. Icy extends the reproducible research principles, by encouraging and facilitating the reusability, modularity, standardization and management of algorithms and protocols. Icy is free, open-source and available at http://icy.bioimageanalysis.org/ .
ISSN:1548-7091
1548-7105
DOI:10.1038/nmeth.2075