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“Not only that, we can also predict pieces that have never been used through evolution, but that can potentially lead to a functional interaction.”Morcos emphasized how technological advances in big-data computing have enabled their project to succeed.“This is novel in that cutting-edge, high-throughput experimental capabilities and next-generation sequencing have allowed us to more quickly explore an abundance of possibilities and parameters,” he said.“Using clever approximations, we can essentially solve a problem that had been computationally impossible.”Morcos said that the strength of their project comes from what he and Campbell each bring to the table.“Dr.Morcos, also an assistant professor of biological sciences, has developed powerful statistical methods to handle the immense volumes of data required to build a model that quantifies the space of a trillion possible RNA structures, and reveals which ones are better candidates for functional interactions.He describes this method as providing “a large number of pieces in a giant jigsaw puzzle,” allowing the team to predict adjacent pieces from contextual clues.“If the experiments cannot capture the exact RNA structure that evolution selected for interactions, it informs the model on how to infer those structures,” he said.
Other authors include graduate students Vandita Bhat, Alexa Lasley and Nikesh Kunder, and undergraduate José Alberto De La Paz.
The research was funded by the National Institutes of Health and startup funds provided by the University.
When Whitney Wolfe Herd launched Bumble, she simply wanted to create a dating app where women felt more at home.
“I’ll text you.” “We’ll text.” Whatever progress women had made in the professional realm seemed to run backward on those sites. “I’m doing another round of Match,” I announced one day, like it was chemo. No matter what dealer I tried, the deck felt stacked against me. Then, in smaller letters, as though a girlfriend were whispering behind her cupped hand, “You both liked each other.” Here I encountered the big twist in the Bumble game. In fact, until I reached out to Sailboat Dude, he would be unable to speak to me.
Men were the hunters, and a woman’s duty was to sit still until she felt his spear. Now in my early forties, I was part of the largest boom in single women ever. At first blush, the app looked suspiciously like Tinder, with profiles containing half a dozen photos and a short bio. This kicky bit of female empowerment is what distinguishes Bumble from other dating apps on the market. I had 24 hours to complete this task before the match disappeared.
Every once in a while, I would wake up to a message sent in the middle of the night. ” I wished I could create an after-hours bounce-back. Some days this demographic shift felt like a feminist triumph, and other days it felt like a dating disaster. The app had that famous swipe-right-to-match function, a piece of game play so brilliant it had become a cultural reference point. The soothing font, the chipper yellow design, but most importantly, the people. A countdown clock appeared, like I was some action hero trying to defuse a bomb.