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As new technologies hit the market, synthetic DNA is available faster and cheaper than ever before. Regulators are preparing to step in to limit opportunities for misuse.
Using an experimental and computational framework inspired by compressed sensing, we greatly reduced the number of measurements needed to run Perturb-seq. Our compressed Perturb-seq strategy relies on collecting measurements comprising random linear combinations of genetic perturbations, followed by deconvolving the perturbation effects on the transcriptome using sparsity-exploiting algorithms.