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Category Archives: Transhuman News

*Fast* 116 Second DNA Bomb on Detroit Solo! – Video

Posted: December 18, 2014 at 3:44 pm


*Fast* 116 Second DNA Bomb on Detroit Solo!
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*Fast* 116 Second DNA Bomb on Detroit Solo! - Video

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2 DNA BOMB auf Detroit. 30:1 – Video

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2 DNA BOMB auf Detroit. 30:1
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2 DNA BOMB auf Detroit. 30:1 - Video

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COD Advanced Warfare – "DOUBLE DNA BOMB w/ LIGHTNING CAMO" – NEW CAMOS IN ADVANCED WARFARE! (COD AW) – Video

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COD Advanced Warfare - "DOUBLE DNA BOMB w/ LIGHTNING CAMO" - NEW CAMOS IN ADVANCED WARFARE! (COD AW)
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COD Advanced Warfare - "DOUBLE DNA BOMB w/ LIGHTNING CAMO" - NEW CAMOS IN ADVANCED WARFARE! (COD AW) - Video

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COD: ADVANCED WARFARE "EM1" DNA BOMB – Video

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COD: ADVANCED WARFARE "EM1" DNA BOMB

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COD: ADVANCED WARFARE "EM1" DNA BOMB - Video

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Robot Trader #27 [DNA, TOP] (18-12-2014) – Video

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Robot Trader #27 [DNA, TOP] (18-12-2014)
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Robot Trader #27 [DNA, TOP] (18-12-2014) - Video

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Geneticists Begin Tests of an Internet for DNA

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Scientists are starting to open their DNA databases online, creating a network that could pave the way for gene analysis at a new scale.

A coalition of geneticists and computer programmers calling itself the Global Alliance for Genomics and Health is developing protocols for exchanging DNA information across the Internet. The researchers hope their work could be as important to medical science as HTTP, the protocol created by Tim Berners-Lee in 1989, was to the Web.

One of the groups first demonstration projects is a simple search engine that combs through the DNA letters of thousands of human genomes stored at nine locations, including Googles server farms and the University of Leicester, in the U.K. According to the group, which includes key players in the Human Genome Project, the search engine is the start of a kind of Internet of DNA that may eventually link millions of genomes together.

The technologies being developed are application program interfaces, or APIs, that let different gene databases communicate. Pooling information could speed discoveries about what genes do and help doctors diagnose rare birth defects by matching children with suspected gene mutations to others who are known to have them.

The alliance was conceived two years ago at a meeting in New York of 50 scientists who were concerned that genome data was trapped in private databases, tied down by legal consent agreements with patients, limited by privacy rules, or jealously controlled by scientists to further their own scientific work. It styles itself after the World Wide Web Consortium, or W3C, a body that oversees standards for the Web.

Its creating the Internet language to exchange genetic information, says David Haussler, scientific director of the genome institute at the University of California, Santa Cruz, who is one of the groups leaders.

The group began releasing software this year. Its hopeas yet largely unrealizedis that any scientist will be able to ask questions about genome data possessed by other laboratories, without running afoul of technical barriers or privacy rules.

The researchers felt they had to act because the falling cost of decoding a genomethen about $10,000, and now already closer to $2,000was producing a flood of data they were not prepared for. They feared ending up like U.S. hospitals, with electronic systems that are mostly balkanized and unable to communicate.

The way genomic data is siloed is becoming a problem because geneticists need access to ever larger populations. They use DNA information from as many as 100,000 volunteers to search for genes related to schizophrenia, diabetes, and other common disease. Yet even these quantities of data are no longer seen as large enough to drive discovery. You are going to need millions of genomes, says David Altshuler, deputy director of the Broad Institute in Cambridge and chairman of the new organization. And no single database is that big.

The Global Alliance thinks the answer is a network that would open the various databases to limited digital searches by other scientists. Using that concept, says Heidi Rehm, a Harvard Medical School geneticist, the alliance is already working on linking together some of the worlds largest databases of information about the breast cancer genes BRCA1 and BRCA2, as well as nine currently isolated databases containing data about genes that cause rare childhood diseases.

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Geneticists Begin Tests of an Internet for DNA

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Inside the barking world of dog DNA

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With his non-regulation haircut and wayward ears, Colin is not everyone's idea of the perfect miniature schnauzer.

But even the biggest mini schnauzer snobs, with their luxuriant locks and fancy neckwear, have never confused him with a Pomeranian.

Yet the yap of a yellow dog's genes echo down the ancestral tree of our decidedly beardy little canine, according to the best reckoning of a $150 DNA saliva test.

There's apparently a distant dash of Australian shepherd in there too. Which certainly runs contrary to Colin's ability to, well, run.

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So between the test and the dog, had we been sold a pup? And which one?

This is the fraught world of DNA dog testing: a place frequented by vets, breeders, and the occasional doting pet owner whose pooch has everything, including identity issues. Dog genetics might be cheaper and more accessible than ever before, but methods for breed identification and their levels of success vary.

Colin's brush with gene science was just that a simple cheek swab via Genetic Technologies' Animal Network "BITSA" test mailed back to the lab. Some other services use a blood sample collected and sent off by a vet.

Then there are the phantom poopers: dogs that recklessly volunteer samples all over public lawns and footpaths. These results have been of particular interest to councils.

"We get a lot of, heaps of them ... the dog poo one," says George Sofronidis of Orivet Genetic Pet Care. "Does my head in."

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Inside the barking world of dog DNA

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Reading the human genome with machine learning – Video

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Reading the human genome with machine learning
Professor Brendan Frey of The Edward S. Rogers Sr. Department of Electrical Computer Engineering and his team have developed the first method for #39;ranking #39; genetic mutations based on...

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Canadians reveal 'Rosetta Stone' for human genome

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Canadian researchers have developed a computer program that could prove the Rosetta Stone of genome researchand one day translate the building blocks of everything from cancer to autism.

Scientists have had a map of the genome essentially the recipe behind each humans DNA since 2003, when the multi-billion-dollar global Human Genome Project wrapped up. But theres still no proven method to read the entire genome. Scientists have mostly understood bits and pieces that affect one specific disease until now.

Most people focus on a single disease, said Brendan Frey, a University of Toronto engineering professor and lead researcher of the new study, in an interview. Our approach is to figure out how to read the genome. If you can read the genome, then you can understand all diseases.

Babak Alipanahi, Hannes Bretschneider, Brendan Frey and Hui Xiong discuss how the splicing code is used to understand disease mutations. (Jennifer Wilson/University of Toronto)

That research, titled The human splicing code reveals new insights into the genetic determinants of disease, appears today in the journal Science, but Canada.com was provided a sneak peak of the potentially groundbreaking discovery.

Before the Rosetta Stone, ancient historians could read a couple hieroglyphs or Egyption words; after it was discovered, they could understand all of it. This discovery is similar: Frey describes the genome like a recipe book and his work as a translator to help understand whether the mix-up occurred in the ingredients or the instructions so it could be prevented or better treated down the line.

Freys use of machine learning (essentially a form of artificial intelligence that makes predictive findings based on existing data) could revolutionize how researches parse the genome and how we think about and treat disease.

To prove that the computation model works, his team applied it to investigate the causes autism, colon cancer and spinal muscular atrophy, the leading cause of infant mortality. What they found not only proved the theory that the whole genome must be examined to understand its parts, but the researchers already made new breakthroughs. They discovered 39 new genes that contribute to or cause autism.

This is a very significant paper in showing that tools like this can be used to find relevant variation in the genome, said Robert Ringle of Autism Speaks, an organization that raises funds for autism research. The way researchers looked at the genome previously only looked at small parts of it. Technology has really limited the field for a number of years. Now, whole genome sequencing allows researchers to look at, in a cost effective way, every letter in the genome, Ringle said, referring to the new research released today. In that code there are going to be answers to what causes diseases, but you need something to decode that to understand.

And thats precisely what Freys team sought to achieve.

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Machine Learning Reveals Unexpected Genetic Roots of Cancers, Autism and Other Disorders

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University of Toronto researchers from Engineering, Biology and Medicine teach computers to read the human genome and rate likelihood of mutations causing disease, opening vast new possibilities for medicine

Newswise (Toronto, ON Dec. 18) In the decade since the genome was sequenced in 2003, scientists and doctors have struggled to answer an all-consuming question: Which DNA mutations cause disease?

A new computational technique developed at the University of Toronto may now be able to tell us.

A Canadian research team led by professor Brendan Frey has developed the first method for ranking genetic mutations based on how living cells read DNA, revealing how likely any given alteration is to cause disease. They used their method to discover unexpected genetic determinants of autism, hereditary cancers and spinal muscular atrophy, a leading genetic cause of infant mortality.

Their findings appear in todays issue of the leading journal Science.

Think of the human genome as a mysterious text, made up of three billion letters. Over the past decade, a huge amount of effort has been invested into searching for mutations in the genome that cause disease, without a rational approach to understanding why they cause disease, says Frey, also a senior fellow at the Canadian Institute for Advanced Research.

This is because scientists didnt have the means to understand the text of the genome and how mutations in it can change the meaning of that text. Biologist Eric Lander of the Massachusetts Institute of Technology captured this puzzle in his famous quote: Genome. Bought the book. Hard to read.

What was Freys approach? We know that certain sections of the text, called exons, describe the proteins that are the building blocks of all living cells. What wasnt appreciated until recently is that other sections, called introns, contain instructions for how to cut and paste exons together, determining which proteins will be produced. This splicing process is a crucial step in the cells process of converting DNA into proteins, and its disruption is known to contribute to many diseases.

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Machine Learning Reveals Unexpected Genetic Roots of Cancers, Autism and Other Disorders

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