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“This is an ongoing attempt at an algorithmically-generated, readability-adjusted scatter-plot of the musical genre-space, based on data tracked and analyzed for 1385 genres by The Echo Nest. The calibration is fuzzy, but in general down is more organic, up is more mechanical and electric; left is denser and more atmospheric, right is spikier and bouncier.”
Anya is live and ready to show you everything. Watch her strip, dance, and perform exclusive shows just for you. Interact in real-time and make your fantasies come true.
Free to watch • No registration required • HD streaming
USGS Geologic Atlas of the Moon (via http://butdoesitfloat.com/The-prevailing-hypothesis-today-is-that-the-Moon-formed-after-a-Mars) http://www.lpi.usra.edu/resources/mapcatalog/usgs/I1162/
Hmm, yum! Food art by Marti Guixe
http://www.food-designing.com/01-food.htm
Tube Maps forever!
bit.ly/15aSOEf
Love: Penguin Science Fiction Covers Timeline 1946-2013 © Arthur Buxton.
bit.ly/1465w6f
Anya is live and ready to show you everything. Watch her strip, dance, and perform exclusive shows just for you. Interact in real-time and make your fantasies come true.
Free to watch • No registration required • HD streaming
Stefanie Posavec: “Accounting”, 2013
http://sandrarendgen.wordpress.com/2013/06/17/the-art-of-memory/
Great new exhibition at V&A – New works by @ffranchi @stefpos and many more! #visualstorytelling #memorypalace
View Post
23 May 2013
Mutation Mapping
To cure a disease you need to first understand its cause. Cancers come in all shapes and sizes, but genetic mutations – a few small changes in pivotal DNA sequences – play a role in almost every case. Acute myeloid leukaemia (AML) is an aggressive cancer of the blood that kills thousands of people worldwide each year. In a bid to understand what genes might be sparking the disease, scientists sequenced the genomes of over 200 AML patients, comparing the genetic sequences in their cancerous cells with those in their healthy cells. The result? A list of which genes and pathways contribute to the cancer. In this interactive graphic each dark line represents a single patient, connecting the mutations that appear in their cancer and revealing which mutations are most common. By identifying the genes that commonly cause the cancer, the researchers hope to dig up new ways to fight AML.
Written by Anthony Lewis
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Click here for the interactive graphic
Ben Raphael
Brown University, USA
Research published in the New England Journal of Medicine
