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Changing the rules of the game.

Dan Maclean
eLife | 2013

Genomics researchers have built a Facebook game that allows members of the public to join the effort to understand a disease that has killed millions of ash trees across Europe.

Pubmed ID: 23951548

Research resources used in this publication

None found

Antibodies used in this publication

None found

Associated grants

  • Agency: Biotechnology and Biological Sciences Research Council, United Kingdom
    Id: BBS/E/J/000CA523

Publication data is provided by the National Library of Medicine ® and PubMed ®. Data is retrieved from PubMed ® on a weekly schedule. For terms and conditions see the National Library of Medicine Terms and Conditions.

This is a list of tools and resources that we have found mentioned in this publication.


GitHub (tool)

RRID:SCR_002630

A web-based hosting service for software development projects that use the Git revision control system offering powerful collaboration, code review, and code management. It offers both paid plans for private repositories, and free accounts for open source projects. Large or small, every repository comes with the same powerful tools. These tools are open to the community for public projects and secure for private projects. Features include: * Integrated issue tracking * Collaborative code review * Easily manage teams within organizations * Text entry with understated power * A growing list of programming languages and data formats * On the desktop and in your pocket - Android app and mobile web views let you keep track of your projects on the go.

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Foldit (tool)

RRID:SCR_003788

Foldit is a revolutionary new multiplayer online computer game that engages non-scientists in solving hard prediction problems, enabling you to contribute to important scientific research. Foldit players interact with protein structures using direct manipulation tools and user-friendly versions of algorithms from the Rosetta structure prediction methodology, while they compete and collaborate to optimize the computed energy. Here are the basic principles to keep in mind when folding proteins. Your score on each protein is based on how well you do with these three things: # Pack the protein: The smaller the protein, the better. More precisely, you want to avoid empty spaces (voids) in the structure of the protein where water molecules can get inside. So you want the atoms in the protein to be as close together as possible. Certain structures, such as sheets, will even connect together with hydrogen bonds if you line them up right and get them close together. This is also good. Key word: Compact. # Hide the hydrophobics: Hydrophobics are the sidechains that don't want to be touching water, just like oil or wax. Since most proteins float around in water, you want to keep the hydrophobics (orange sidechains) surrounded by as many atoms as possible so the water won't get to them. The other side of this rule is that hydrophilics (blue sidechains) do want to be touching water, so they should be exposed as much as possible. Key word: Buried. # Clear the clashes: Two atoms can't occupy the same space at the same time. If you've folded a protein so two sidechains are too close together, your score will go down a lot. This is represented by a red spiky ball (clash) where the two sidechains are intersecting. If there are clashes, you know something is wrong with your protein. So make sure everything is far enough apart. Key word: Apart. The current series of Science Puzzles, the Grand Challenges, are meant to generate the evidence needed to prove that human protein folders can be more effective than computers at certain aspects of protein structure prediction. That's what all the puzzles in Foldit are about right now: predicting the structure of a protein based on its amino acid sequence. The three rules mentioned above describe the characteristics of correct protein structures.

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EyeWire (tool)

RRID:SCR_008816

An online game for mapping neuronal connections in the retina. The site provides microscopic retinal images and uses crowdsourcing to make sense of the images. EyeWire is where the general public can help make discoveries about the neural structure of the retina. The challenge is to map the neural connections of the retina by analyzing images that were acquired using serial electron microscopy at the Max Planck Institute for Medical Research in Heidelberg, Germany. A retinal volume of size 350��300��60 micrometer cubed was imaged, amounting to about one terabyte of data. Retinal Connectome * Game 1: Reconstructing Neurons * Game 2: Identifying Synapses Eyewire incorporates computational technologies developed by the laboratory of Prof. Sebastian Seung at MIT.

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Pompep (tool)

RRID:SCR_010536

FTP site to access Schizosaccharomyces pombe protein data.

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