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http://www.imdb.com/title/tt1279935/

This paper has: (1) Large-scale datasets compiled from literature and databases, (2) comprehensive gold standards for positive and negative samples, (3) a classifier algorithm (regularized Bayesian), and (4) further analysis beyond “functional prediction”, including an interaction network. It predicts a list of genes having some possible functions, and the authors have experimentally validated them.

http://www.ncbi.nlm.nih.gov/pmc/articles/PMC2694471/

Genome Res. 2009 Jun;19(6):1093-106. Epub 2009 Feb 26.
Exploring the human genome with functional maps.
Huttenhower C, Haley EM, Hibbs MA, Dumeaux V, Barrett DR, Coller HA, Troyanskaya OG.

Nice visualization that automatically subdivides connections into lab, Yale, consortia & other
http://inmaps.linkedinlabs.com/share/Mark_Gerstein/269928372085738025140153691363832822101

http://thenextweb.com/insider/2012/11/09/evernote-updates-legal-and-user-policies-in-lieu-of-huge-growth-and-businesseducation-focus

http://www.nytimes.com/2012/11/08/technology/personaltech/how-to-devise-passwords-that-drive-hackers-away.html

http://fivethirtyeight.blogs.nytimes.com/2012/11/08/as-nation-and-parties-change-republicans-are-at-an-electoral-college-disadvantage

http://chronicle.com/blogs/wiredcampus/the-real-revolution-is-openness-clay-shirky-tells-tech-leaders

http://www.nature.com/news/wrens-teach-their-eggs-to-sing-1.11779

http://pdos.csail.mit.edu/scigen/

https://www.sharelatex.com