Difference between revisions of "Gene games"

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Es una plataforma creada para contribuír a la ciencia a través del juego con el fin de hacer programas más inteligentes en la predicción de enfermedades. Gene Games es un proyecto de The Su Lab, un grupo que trabaja en el campo de la bioinformática, aplicando las herramientas de la informática y la estadística para promover el descubrimiento biológico.
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[[file:Screenshot-genegames org 2016-08-18 14-47-19.png|thumbnail|right]]
  
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Además de ser una fuente de entretenimiento y aprendizaje, la hipótesis principal es que el conocimiento biológico accesible a los jugadores, puede hacer modelos predicitvos usando algoritmos de aprendizaje
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== <small>'''Self-portrait'''</small> ==
  
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El proyecto se dedica a la exploración y desarrollado varios experimentos de juegos como: The Cure, Dizeez y GenESP y simultáneamente Science Game Center, Phylo, (tetris con DNA), Mobianga! (conexiones genes-enfermedades), Foldit (proteínas), Eterna (construcción de moléculas de RNA y Eyewire (neuronas).
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''Play, learn, contribute to science.''
  
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The Cure es un juego de cartas basado en la biología. Al jugar las partidas como en el poker, se enseñan y aprenden las leyes de la naturaleza. El objetivo es buscar patrones genéticos y predecir su comportamiento. El juego fue presentado por Andrew Su en Genome Informatics en el 2012. Se registraron 120 jugadores que activaron 2000 juegos. Actualmente The Cure trabaja en crear el mejor predictor de cáncer de mama, por lo que se están solicitando jugadores con interés en aprender sobre este tema y contribuír con su juego en el desarrollo de una herramienta para el bien común.
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''The Cure''
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''Defeat your opponent by finding the best combination of genes for predicting breast cancer prognosis.''
  
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El juego Dizeez trata de relacionar enfermedades con los genes, las enfermedades aparecen clasificadas por área: Cáncer, metabolismo, inmunidad, y Salud mental. También por familia proteínica: Kinases, Proteases, Transcription y factors. Por último en el juego Gen ESP, el jugador y su compañero ven la misma enfermedad, cada cual adivina los genes que el otro está escribiendo.
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''Dizeez''
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''Get as many gene-disease links as you can in one minute.''
  
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URL: http://genegames.org/games/
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== <small>'''Description'''</small> ==
  
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Wayback Machine: https://web.archive.org/web/*/http://genegames.org/games/
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Gene Games is a gaming platform contributing to the development of smarter disease prediction programs. The platform is owned by the Su Lab, a group working in the field of bioinformatics, applying computer science tools and statistics to promote biological discovery. In addition to providing an entertaining and educational platform, the project posits that by making biological knowledge accessible to gamers, these same learning algorithms can help develop better prediction models.
  
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The project has explored and developed several experimental games, such as: The Cure, Dizeez and GenESP, the Science Game Center (science learning game collection), Phylo (play Tetris with DNA), Mobianga! (suggest and learn gene-disease connections), Foldit (fold proteins), eteRNA (build RNA molecules) and Eyewire (trace neurons). The Cure is a biology based card game where you can learn the laws of nature to predict genetic patterns. The game was shown at the 2012 Genome Informatics by Andrew Su. 120 gamers signed up and activated 2000 games. The Cure is currently working on creating the best predictor for breast cancer by looking for players interested in learning and contributing to the development of a better tool by playing the game. Dizeez is a game looking for gene-disease links. Diseases are classified by area: cancer, metabolism, immunology, and mental health, as well as by protein family. Finally, the GenESP game has two players look into the same disease and guess which gene their partner is typing.
  
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[[Categoría:Crowdsourcing]]
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== <small>'''Interview'''</small> ==
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[[Categoría:Open education]]
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[[Categoría:Open science]]
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Benjamin Good http://dpya.org/en/index.php/Benjamin_Good
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== <small>'''Links'''</small> ==
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'''URL:''' http://genegames.org/games/
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'''Wayback Machine:''' https://web.archive.org/web/*/http://genegames.org/games/
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[[Category:Projects]]
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[[Category:Science]]
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[[Category:English]]
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[[Category:USA]]
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[[Category:2013]]
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[[Category:Crowdsourcing]]
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[[Category:Open education]]
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[[Category:Open science]]
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[[Category:Citizen science]]
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[[Category:Nonprofit]]

Latest revision as of 00:25, 3 June 2017

Screenshot-genegames org 2016-08-18 14-47-19.png

Self-portrait

Play, learn, contribute to science.

The Cure Defeat your opponent by finding the best combination of genes for predicting breast cancer prognosis.

Dizeez Get as many gene-disease links as you can in one minute.

Description

Gene Games is a gaming platform contributing to the development of smarter disease prediction programs. The platform is owned by the Su Lab, a group working in the field of bioinformatics, applying computer science tools and statistics to promote biological discovery. In addition to providing an entertaining and educational platform, the project posits that by making biological knowledge accessible to gamers, these same learning algorithms can help develop better prediction models.

The project has explored and developed several experimental games, such as: The Cure, Dizeez and GenESP, the Science Game Center (science learning game collection), Phylo (play Tetris with DNA), Mobianga! (suggest and learn gene-disease connections), Foldit (fold proteins), eteRNA (build RNA molecules) and Eyewire (trace neurons). The Cure is a biology based card game where you can learn the laws of nature to predict genetic patterns. The game was shown at the 2012 Genome Informatics by Andrew Su. 120 gamers signed up and activated 2000 games. The Cure is currently working on creating the best predictor for breast cancer by looking for players interested in learning and contributing to the development of a better tool by playing the game. Dizeez is a game looking for gene-disease links. Diseases are classified by area: cancer, metabolism, immunology, and mental health, as well as by protein family. Finally, the GenESP game has two players look into the same disease and guess which gene their partner is typing.

Interview

Benjamin Good http://dpya.org/en/index.php/Benjamin_Good

Links

URL: http://genegames.org/games/

Wayback Machine: https://web.archive.org/web/*/http://genegames.org/games/

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