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

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 designe...

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Autores principales: Kwak, Daniel, Kam, Alfred, Becerra, David, Zhou, Qikuan, Hops, Adam, Zarour, Eleyine, Kam, Arthur, Sarmenta, Luis, Blanchette, Mathieu, Waldispühl, Jérôme
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2013
Materias:
Software
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4014878/
https://www.ncbi.nlm.nih.gov/pubmed/24148814
http://dx.doi.org/10.1186/gb-2013-14-10-r116
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author Kwak, Daniel
Kam, Alfred
Becerra, David
Zhou, Qikuan
Hops, Adam
Zarour, Eleyine
Kam, Arthur
Sarmenta, Luis
Blanchette, Mathieu
Waldispühl, Jérôme
author_facet Kwak, Daniel
Kam, Alfred
Becerra, David
Zhou, Qikuan
Hops, Adam
Zarour, Eleyine
Kam, Arthur
Sarmenta, Luis
Blanchette, Mathieu
Waldispühl, Jérôme
author_sort Kwak, Daniel
collection PubMed
description 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.
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spelling pubmed-40148782014-05-10 Open-Phylo: a customizable crowd-computing platform for multiple sequence alignment Kwak, Daniel Kam, Alfred Becerra, David Zhou, Qikuan Hops, Adam Zarour, Eleyine Kam, Arthur Sarmenta, Luis Blanchette, Mathieu Waldispühl, Jérôme Genome Biol Software 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. BioMed Central 2013 2013-10-22 /pmc/articles/PMC4014878/ /pubmed/24148814 http://dx.doi.org/10.1186/gb-2013-14-10-r116 Text en Copyright © 2013 Kwak et al.; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Software
Kwak, Daniel
Kam, Alfred
Becerra, David
Zhou, Qikuan
Hops, Adam
Zarour, Eleyine
Kam, Arthur
Sarmenta, Luis
Blanchette, Mathieu
Waldispühl, Jérôme
Open-Phylo: a customizable crowd-computing platform for multiple sequence alignment
title Open-Phylo: a customizable crowd-computing platform for multiple sequence alignment
title_full Open-Phylo: a customizable crowd-computing platform for multiple sequence alignment
title_fullStr Open-Phylo: a customizable crowd-computing platform for multiple sequence alignment
title_full_unstemmed Open-Phylo: a customizable crowd-computing platform for multiple sequence alignment
title_short Open-Phylo: a customizable crowd-computing platform for multiple sequence alignment
title_sort open-phylo: a customizable crowd-computing platform for multiple sequence alignment
topic Software
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4014878/
https://www.ncbi.nlm.nih.gov/pubmed/24148814
http://dx.doi.org/10.1186/gb-2013-14-10-r116
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