"Your genetic code translates into your biological code which translates into you," Venter told U-T San Diego, where the startup is based. "We need to use machine learning to find associations between genes that mere mortals can't find from staring at the data. Indeed, it would be impossible for humans to crack the code it'll take an intelligent machine to analyze the data and unlock the biological secrets hidden inside. "Even in a familiar language it is difficult to pick out the meaning of the passage." "Imagine the genome as a book written without capitalization or punctuation, without breaks between words, sentences, or paragraphs, and with strings of nonsense letters scattered between and even within sentence," Genome News Network explains. Each sequenced genome is made of some 3 billion As, Cs, Gs, and Ts strung together. In a way, interpreting the jumbled DNA letters that make up our genetic code is a lot like translating a language.
Or more accurately, teach a machine to do it.Īnd that's why Human Longevity announced yesterday it's hired the former head of Google Translate, Franz Och, to develop new computational tools and algorithms to translate the bio data into actionable insights-like developing personalized medicine, early diagnosis, cures for killers like cancer and heart disease, and eventually stem cell therapies.
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The firm will also sequence the genomes of the trillions of microbes that live on and inside the body-bacteria, viruses, and fungi-and integrate that into the data. The hope is that the resulting torrent of genetic information could hold the key to preventing disease and slowing aging-if someone can figure out how to decipher the massive database.
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