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Open-Phylo: a customizable crowd-computing platform for multiple sequence alignment

Daniel Kwak1, Alfred Kam1, David Becerra1, Qikuan Zhou1, Adam Hops1, Eleyine Zarour1, Arthur Kam1, Luis Sarmenta2, Mathieu Blanchette1 and Jérôme Waldispühl1*

Author Affiliations

1 School of Computer Science and McGill Centre for Bioinformatics, McGill University, McConnell Engineering Bldg, Rm 318, 3480 University Street, Montreal QC H3A 0E9, Canada

2 Microsoft, 1020 Enterprise Way, Sunnyvale, CA 94089, USA

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Genome Biology 2013, 14:R116  doi:10.1186/gb-2013-14-10-r116

Published: 22 October 2013


Citizen science games such as Galaxy Zoo, Foldit, and Phylo aim to harness the intelligence and processing power generated by crowds of online gamers to solve scientific problems. However, the selection of the data to be analyzed through these games is under the exclusive control of the game designers, and so are the results produced by gamers. Here, we introduce Open-Phylo, a freely accessible crowd-computing platform that enables any scientist to enter our system and use crowds of gamers to assist computer programs in solving one of the most fundamental problems in genomics: the multiple sequence alignment problem.