Forget Farmville, here’s a game that drives genetic research
۲ݮƵ researchers develop game that uses players’ moves to
analyze genetic sequences
Playing online can mean more than killing time, thanks to a new
game developed by a team of bioinformaticians at ۲ݮƵ University.
Now, players can contribute in a fun way to genetic research.
“There are some calculations that the human brain does more
efficiently than any computer can, such as recognizing a face,”
explained lead researcher Dr. Jérôme Waldispuhl of the School of
Computer Science. “Recognizing and sorting the patterns in the
human genetic code falls in that category. Our new online game
enables players to have fun while contributing to genetic research
– players can even choose which genetic disease they want to help
decode.” The game is called Phylo and can be played at .
The game has been tested within the scientific community to ensure
its accuracy, but was officially launched today at 11 a.m. “We’re
hoping that people will enjoy playing the game and that many
participants will sign up,” Waldispühl said. “This is an
opportunity for people to use their free time to contribute in an
extremely important way to medical research.” Many human diseases
are caused by defects in the DNA code, and researchers are only
just beginning to unravel this link.
Beyond offering the general public an opportunity to get involved
in this research, the game is also useful for teaching the next
generation of genetics researchers about their field. “The precise
genetic cause of most diseases is not known, but thanks to Phylo
gamers, this research could be significantly improved,” said Dr.
Alain Denise, a Bioinformatics and Computational Biology researcher
at the University of Paris-Sud 11.
The researchers have their sights set high for the future of the
game. “We would like to integrate this game directly into Facebook
as an application. Farmville, move over!”
For more information:
Phylo – a game which enables you to sort genetic code:
۲ݮƵ’s School of Computer Science:
Computational Structural Biology Group:
۲ݮƵ Centre for Bioinformatics: /mcb/