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Studying genetics in the age of big data

New biomedical techniques, such as next-generation genome sequencing, are creating vast amounts of data and transforming the scientific landscape. They're leading to unimaginable breakthroughs -- but leaving researchers racing to keep up. "This is when I start feeling my age," Anne Corcoran says. Corcoran leads a group that looks at how our genomes -- the DNA coiled in almost every cell in our bodies -- relate to our immune systems, and specifically to the antibodies we make to defend against infection. She is, in her own words, an "old-school biologist," brought up on the skills of pipettes and Petri dishes and protective goggles, the science of experiments with glassware on benches -- what's known as'wet lab' work. "I knew what a gene looked like on a gel," she says, thinking back to her early career. These days, that skill set is not enough. "When I started hiring Ph.D. students 15 years ago, they were entirely wet lab," Corcoran says. "Now when we recruit them, the first thing we look for is if they can cope with complex bioinformatic analysis."